Digital Justice and Inclusive Resource Governance in Zimbabwean Artisanal and Small-Scale Mining Using AI and Blockchain

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Amid growing global demand for critical minerals, this study examines how digital technologies specifically Artificial Intelligence (AI) and Blockchain can be leveraged to promote inclusive, transparent, and just resource governance in Zimbabwe’s ASM sector. Anchored in a Digital Justice and Inclusive Resource Governance framework, the study adopts a qualitative research design combining semi-structured interviews with miners, civil society actors, and government officials, document analysis, and comparative case studies from Rwanda, Ghana, and the Democratic Republic of Congo. The findings reveal significant digital potential alongside deep structural constraints. Blockchain technologies offer promise for mineral traceability, ethical sourcing, and local value retention, while AI applications can enhance environmental monitoring and mine safety. However, limited infrastructure, digital illiteracy, fragmented institutions, and regulatory inertia constrain adoption. Crucially, evidence shows that digital interventions succeed only when designed through participatory, community-led processes; otherwise, they risk reinforcing surveillance and exclusion. The study recommends a national digital mining strategy, community technology hubs, participatory technology co-design, and targeted Blockchain pilot projects anchored in data sovereignty and miner rights. It contributes a context-sensitive framework that positions digital transformation not as a technocratic fix, but as a democratic project essential to equitable and sustainable mineral governance in Zimbabwe’s ASM sector. Artisanal mining Blockchain Artificial intelligence Digital governance Traceability Inclusive development Smart contracts Resource transparency Figures Figure 1 Introduction Zimbabwe’s mineral endowment has historically functioned as both an economic asset and a source of political contestation, shaping colonial extraction, nationalist mobilisation, and post-independence accumulation patterns. In the contemporary period, Artisanal and Small-Scale Mining (ASM) has emerged as a central, yet structurally marginalised, component of the national mining economy. The sector is estimated to contribute over 60 percent of Zimbabwe’s gold output and to sustain approximately 1.5 million livelihoods, particularly in rural areas characterised by limited formal employment opportunities (Chamber of Mines of Zimbabwe, 2023 ). Despite its economic significance, ASM remains predominantly informal and is associated with persistent environmental degradation, opaque trading networks, occupational precarity, and limited participation in formal policy and investment frameworks (ZELA, 2022 ). These governance challenges are not incidental. Rather, they reflect deeper structural features of Zimbabwe’s mineral governance regime, which continues to privilege large-scale corporate mining and foreign investment over small-scale, community-based production systems. The Mines and Minerals Act [Chapter 21:05], a legislative instrument rooted in the colonial era, remains the primary legal framework governing mineral extraction and provides limited recognition of ASM-specific realities, including environmental management, technological upgrading, and participatory governance (Government of Zimbabwe, 2022). While the state has introduced a range of formalisation initiatives such as gold delivery incentives and mobile gold buying schemes implementation has been uneven, under-resourced, and frequently undermined by elite capture and weak institutional coordination (Mukwakwami & Mavhunga, 2021 ). Within this context, digital technologies present a potentially transformative, yet underutilised, avenue for addressing long-standing governance deficits in the ASM sector. Globally, Artificial Intelligence (AI) and Blockchain technologies are increasingly reshaping mineral governance by improving monitoring, traceability, and regulatory compliance. AI refers to a system’s capacity to interpret external data, learn from it, and apply those insights to achieve specific objectives through adaptive processes (Kaplan & Haenlein, 2019 ). In the extractive sector, AI-enabled satellite imagery and machine learning tools are being deployed to detect illegal mining activities, assess environmental impacts, and support real-time compliance monitoring (UNCTAD, 2020 ). Blockchain, defined as a decentralised and tamper-resistant distributed ledger system (Yli-Huumo et al., 2016 ), has similarly gained traction as a mechanism for mineral traceability and ethical certification. Platforms such as Everledger and Minespider have been implemented in countries including Rwanda, Ghana, and the Democratic Republic of Congo to verify mineral provenance and facilitate responsible sourcing across global supply chains (World Bank, 2021 ). Zimbabwe, however, has yet to integrate these digital innovations into its mining governance architecture in a systematic manner. Although digital financial services have expanded rapidly in other sectors, the mining industry particularly ASM remains technologically underdeveloped. Most artisanal miners lack access to digital tools, geospatial data, and reliable internet connectivity, while state institutions have not articulated a coherent digital mining strategy or established regulatory frameworks governing the deployment of AI and Blockchain technologies in extractives. This technological gap reinforces existing structural inequalities, contributing to a dualistic mining economy in which large-scale operators participate in global traceability initiatives, while ASM producers remain embedded in informal and often exploitative supply chains (African Union, 2009 ). This paper contends that AI and Blockchain technologies can contribute to more inclusive, transparent, and accountable mineral governance in Zimbabwe’s ASM sector, but only if their design and implementation are grounded in participatory, justice-oriented principles. Rather than treating digitalisation as a technocratic solution, the study emphasises the importance of co-design, institutional reform, and community engagement in shaping digital interventions. By drawing on comparative international case studies, analysing policy and regulatory gaps, and proposing a context-sensitive digital governance framework, the article seeks to advance debates on inclusive resource governance and to reposition artisanal miners as active agents in the digital transformation of Africa’s extractive economies. Conceptual Framework: Digital Justice and Inclusive Resource Governance This study is grounded in two intersecting theoretical perspectives: Inclusive Resource Governance and Digital Justice in the Global South. Together, they provide an analytical lens for examining how Artificial Intelligence (AI) and Blockchain can reshape the governance of Zimbabwe’s Artisanal and Small-Scale Mining (ASM) sector in ways that are inclusive, accountable, and socially just. Inclusive Resource Governance argues that effective mineral management must extend beyond economic efficiency to include democratic participation, social equity, and environmental stewardship (Hilson, 2010 ). Consistent with the Africa Mining Vision (African Union, 2009 ), this perspective recognises ASM as a structurally significant livelihood system rather than a marginal or transitional activity. Governance models that exclude artisanal miners from decision-making and formal value chains have been shown to reinforce poverty, gender inequality, and environmental degradation (Lahiri-Dutt, 2018 ). Complementing this, the Digital Justice framework highlights that digital technologies are not neutral; they embody power relations and institutional priorities (D’Ignazio & Klein, 2020 ). Digital justice refers to an approach to digital transformation that foregrounds equity, power, participation, and rights in the design, deployment, and governance of digital technologies. It recognizes that digital systems are not neutral technical tools, but socio-political infrastructures that can either reproduce existing inequalities or actively redistribute power and opportunity, particularly in marginalized communities, (D’Ignazio & Klein, 2020 ). In extractive sectors, technologies such as AI-driven monitoring or Blockchain-based traceability can entrench exclusion if they are designed without community participation or regulatory safeguards. Blockchain systems developed by external actors may impose technical barriers that marginalise artisanal miners (Taylor & Broeders, 2015 ), while AI-based surveillance risks undermining local knowledge and data sovereignty when deployed without consent. By integrating these frameworks, the study advances a model of Transformative Digital Governance, which conceptualises AI and Blockchain as socio-technical tools whose impacts depend on inclusive design, democratic oversight, and institutional accountability. As illustrated in Fig. 1 , Blockchain is framed as a mechanism for traceability and fair value distribution, while AI supports environmental monitoring and mine safety, provided both are co-designed with miners, adapted to low-cost mobile platforms, and governed through transparent public institutions. This framework reframes Zimbabwe’s ASM sector as a legitimate site of innovation and agency, offering an analytical foundation for assessing whether digital technologies reproduce existing inequalities or enable more democratic and locally grounded forms of resource governance. Theoretical Positioning This study is theoretically anchored in an integrated Digital Justice and Inclusive Resource Governance framework, which bridges critical data studies and political economy approaches to extractive governance. Drawing on digital justice scholarship, the framework conceptualizes AI and blockchain not as neutral efficiency tools but as socio-technical systems embedded in relations of power, access, and exclusion (Dencik et al., 2019 ; Taylor, 2017 ). At the same time, insights from inclusive resource governance emphasize that access to technology does not automatically translate into control or benefit, particularly in contexts marked by institutional asymmetry and elite capture (Ribot & Peluso, 2003 ; Ostrom, 2010 ). By integrating these perspectives, the framework advances an analytically grounded approach for assessing whether digital interventions in ASM redistribute decision-making power, protect community data rights, and enhance participatory governance, or whether they reinforce extractive and surveillance-oriented models of control (Couldry & Mejias, 2019 ; Heeks & Renken, 2018 ). This positioning enables the study to move beyond techno-optimism and contribute a justice-oriented lens to debates on digital transformation in Africa’s extractive sectors. Literature Review The intersection of digital technologies and resource governance has attracted growing scholarly attention, particularly in contexts characterised by informality, opacity, and weak institutional capacity. Recent literature examines how Artificial Intelligence (AI), Blockchain, and other data-driven systems are reshaping governance in extractive industries, with mixed implications for transparency, accountability, and social justice. AI has been extensively studied for its applications in environmental monitoring, mineral detection, and predictive analytics. Empirical studies highlight the use of satellite imagery and remote sensing to detect illegal mining, assess land degradation, and monitor water pollution (UNEP, 2021 ). These technologies offer significant potential to enhance regulatory oversight and environmental protection. However, critical scholars caution that AI-driven governance may deepen asymmetries of power if deployed without participatory safeguards, particularly in contexts where artisanal mining is criminalised and subject to coercive regulation (Taylor & Broeders, 2015 ). In such settings, AI risks functioning as a tool of surveillance rather than inclusion. Blockchain technology has similarly gained prominence for its promise to improve mineral traceability and ethical sourcing. Pilot initiatives in Rwanda, Ghana, and the Democratic Republic of Congo demonstrate how distributed ledgers can reduce smuggling, verify provenance, and enhance compliance with international due diligence standards (World Economic Forum, 2022 ). Yet, the literature also highlights important limitations. Blockchain systems often rely on external technical expertise, stable internet infrastructure, and formalised production processes, conditions that frequently exclude artisanal miners (Lehtiniemi & Ruckenstein, 2019 ). As a result, blockchain may reinforce existing hierarchies within mineral value chains unless embedded within inclusive institutional and legal frameworks. Zimbabwe-specific scholarship underscores persistent governance failures within the ASM sector, including informality, exploitative trading networks, and elite capture. Mukwakwami and Mavhunga ( 2021 ) document how politically connected actors dominate gold marketing and mineral exports, limiting community-level benefits. Reports by ZELA ( 2022 ) and the Chamber of Mines of Zimbabwe ( 2023 ) similarly call for decentralised, transparent, and participatory regulatory frameworks that recognise ASM as a central pillar of rural livelihoods. However, this body of work largely treats governance reform as a legal or institutional challenge, with limited engagement with the role of digital technologies. Insights from feminist data science and critical development studies extend this debate by introducing the concept of data justice, which frames access to data, control over digital infrastructure, and participation in technological governance as political rights (D’Ignazio & Klein, 2020 ). This perspective is particularly salient in Zimbabwe, where ASM communities are routinely excluded from geological information, land registries, and market data. Without deliberate efforts to address these digital inequalities, emerging technologies risk reproducing historical patterns of exclusion rather than transforming them. Despite a growing body of scholarship on digitalisation in extractives, a clear gap remains. Few studies examine how AI and Blockchain can be deliberately designed to empower artisanal miners, strengthen local accountability, and redistribute value within mineral economies. Empirical research on Zimbabwe is especially limited, and co-design approaches that centre community agency remain underexplored. This study addresses this gap by reframing digital transformation not as a technocratic intervention, but as a political and ethical project aimed at inclusive resource governance. It asks how digital technologies can be integrated into Zimbabwe’s ASM sector in ways that promote transparency, equity, and local empowerment, rather than reinforcing extractivist logics through high-tech means. Research Design and Methodology This study employs a qualitative, exploratory research design aimed at understanding how digital technologies specifically Artificial Intelligence (AI) and Blockchain can be harnessed to promote inclusive and ethical governance in Zimbabwe’s Artisanal and Small-Scale Mining (ASM) sector. Given the emergent and context-specific nature of digital transformation in mining, a qualitative approach is most appropriate for capturing the complexities, perceptions, and lived experiences of stakeholders across the sector (Denzin & Lincoln, 2018 ). The research design is guided by principles of critical social inquiry and participatory ethics, which interrogate power relations, exclusion, and knowledge hierarchies within development interventions (Gaventa, 2006 ; Heeks & Renken, 2018 ). Rather than treating technology as neutral, the study aligns with digital justice scholarship that situates digital systems within broader political, economic, and social structures (Dencik et al., 2019 ; Taylor, 2017 ). 30 Semi-structured interviews were conducted with artisanal miners, community leaders, government officials, civil society actors, and digital technology developers to explore governance challenges, technological experiences, and attitudes toward AI and Blockchain. Document analysis drew on mining legislation, national policy frameworks (Government of Zimbabwe, 2021 ; Ministry of ICT, 2020 ), and reports from civil society and multilateral institutions (ZELA, 2022 ; World Bank, 2020 ; UNCTAD, 2021 ). These documents were analyzed to identify discursive patterns, governance gaps, and technological blind spots in ASM formalization. Data collection was conducted over a six-month period between March 2025 and August 2025, allowing for iterative analysis and respondent validation. Comparative case studies from Rwanda, Ghana, and the Democratic Republic of Congo (DRC) were used to assess how digital technologies interact with institutional capacity and community participation in ASM governance (Hilson & McQuilken, 2014 ; IPIS, 2021 ). Data were analyzed using thematic coding guided by concepts of inclusive resource governance (Ostrom, 2010 ; Ribot & Peluso, 2003 ) and digital justice (Couldry & Mejias, 2019 ). Case Study Analysis: Digital Innovations in African ASM Governance To assess the feasibility of deploying Artificial Intelligence (AI) and Blockchain technologies in Zimbabwe’s Artisanal and Small-Scale Mining (ASM) sector, this section examines three comparative case studies from Rwanda, Ghana, and the Democratic Republic of Congo (DRC). These cases were selected because they represent early attempts to integrate digital tools into ASM governance within African contexts characterized by informality, weak institutions, and contested mineral value chains. Together, they provide instructive insights into the opportunities, limitations, and governance conditions necessary for successful digital adoption. Rwanda: Blockchain for Tantalum Traceability Rwanda has emerged as a regional leader in mineral traceability through its collaboration with Circulor, a UK-based blockchain firm. The platform enables end-to-end tracking of tantalum exports by recording mineral origin, custody transfers, and compliance data on an immutable digital ledger, aligning Rwanda’s exports with OECD due diligence standards (Circulor, 2021 ; OECD, 2019 ). While the system has strengthened state oversight and buyer confidence, evaluations indicate that artisanal miners were largely excluded from system design, and participation costs remain prohibitive for small-scale operators (KPMG, 2022 ; IPIS, 2020 ). As a result, blockchain adoption has reinforced centralized control rather than redistributing power along the value chain. Despite these gains, critical assessments reveal that the traceability system is primarily designed to serve state regulators and downstream corporate buyers rather than artisanal miners themselves. Artisanal and small-scale miners were largely excluded from the design and governance of the platform, limiting their agency within the digital value chain. Participation requires access to digital devices, stable connectivity, and compliance with standardized reporting protocols costs that remain prohibitive for many small-scale operators (KPMG, 2022 ). Consequently, blockchain adoption has functioned less as a tool for inclusion and more as an instrument of upward accountability, reinforcing state and corporate oversight while reproducing existing power asymmetries at the mine level. The Rwandan case thus illustrates a central tension in digital resource governance: while blockchain can enhance transparency and market access at the macro level, its developmental impact depends on whether artisanal miners are positioned as co-owners of digital infrastructure or merely as data providers within externally governed systems. Without deliberate measures to reduce entry barriers, ensure participatory design, and embed benefit-sharing mechanisms, Blockchain traceability risks entrenching a form of “digital enclosure” in which value is captured at the top of the supply chain while governance burdens are transferred downward. For Zimbabwe, this case underscores the importance of pairing traceability technologies with institutional reforms that prioritize miner inclusion, affordability, and local value retention. Ghana: Digital Gold Trading and AI-Enabled Spatial Governance Ghana has emerged as a key laboratory for digital innovation in artisanal and small-scale gold mining, particularly through the deployment of mobile-based digital gold trading platforms and AI-supported spatial mapping initiatives. These interventions, supported by the Minerals Commission of Ghana in collaboration with international development partners, aim to formalize ASM operations by linking miners directly to licensed buyers, improving price transparency, and reducing reliance on informal intermediaries (Minerals Commission of Ghana, 2022 ). Complementary AI-driven geospatial tools have been employed to map active ASM zones, resolve land-use conflicts, and enhance regulatory oversight by identifying environmentally sensitive areas and illegal encroachments. In Ghana, digital gold trading platforms and AI-supported geospatial mapping have been used to improve ASM formalization and land-use planning (World Bank, 2019 ; Minerals Commission of Ghana, 2022 ). These initiatives have reduced buyer opacity and improved regulatory targeting, yet challenges persist related to digital literacy, rural connectivity, and political contestation over mining spaces (Hilson et al., 2013 ; Fisher et al., 2020 ). While these initiatives have demonstrated measurable gains in administrative efficiency and regulatory visibility, their inclusive impact remains uneven. Access to digital trading platforms presupposes functional literacy, mobile connectivity, and trust in state institutions conditions that are not uniformly present across Ghana’s ASM landscape. Many miners reported difficulties navigating digital interfaces and expressed concerns over increased surveillance and taxation without commensurate improvements in services or legal security. AI-based spatial mapping, though valuable for planning and enforcement, has largely been implemented through top-down institutional processes, with limited involvement of mining communities in data validation or decision-making. As a result, Ghana’s experience illustrates how digital formalization can inadvertently reproduce asymmetries between the state and artisanal miners if participation is framed primarily in terms of compliance rather than empowerment. Digital tools have improved visibility and traceability, but have not fundamentally altered miners’ bargaining power within gold value chains. For Zimbabwe, the Ghanaian case highlights the need to integrate digital innovation with trust-building measures, cooperative governance models, and tangible incentives for miners such as access to finance, secure tenure, and social protection if technology-driven formalization is to be both effective and equitable. Democratic Republic of Congo: AI-Enabled Satellite Monitoring and Environmental Surveillance The Democratic Republic of Congo (DRC) has experimented with Artificial Intelligence enabled satellite monitoring as a mechanism for addressing environmental degradation and illegal mining in mineral-rich regions. Through partnerships involving government agencies, civil society organizations, and international donors, machine-learning algorithms have been applied to high-resolution satellite imagery to detect deforestation, river pollution, and unauthorized mining activities in near real time (Global Witness, 2020 ). In the DRC, satellite imagery and machine learning tools have been deployed to monitor deforestation, illegal mining, and environmental degradation in conflict-affected ASM zones (IPIS, 2021 ; Global Witness, 2020 ). While these systems enhance transparency, scholars caution that they risk reproducing top-down surveillance models that marginalize artisanal miners and local communities (Radley & Geenen, 2021 ; Couldry & Mejias, 2019 ). However, the deployment of AI-driven surveillance in the DRC has been accompanied by profound governance and ethical challenges. Weak institutional capacity and limited enforcement power have constrained the translation of digital detection into meaningful accountability. Moreover, mining communities have had little say in how data is collected, interpreted, or used, raising concerns about consent, data ownership, and the criminalization of livelihood activities in the absence of viable economic alternatives. In contexts marked by conflict, militarization, and historical extraction, AI surveillance risks becoming a tool of coercive control rather than environmental justice. The DRC case underscores the dangers of decoupling technological innovation from democratic governance. While AI systems can generate unprecedented environmental insights, their legitimacy and effectiveness depend on transparent oversight, community participation, and safeguards against misuse. Without these conditions, digital monitoring may intensify exclusion and exacerbate tensions between artisanal miners, the state, and security actors. For Zimbabwe, the lesson is clear: AI-based environmental governance must be designed as a participatory and restorative mechanism supporting rehabilitation, risk reduction, and livelihood diversification rather than as a purely punitive or surveillance-driven intervention. Comparative Insights and Implications for Zimbabwe Taken together, these cases demonstrate that digital technologies can enhance transparency, traceability, and environmental oversight in ASM, but their effectiveness depends less on technical sophistication than on governance design. Successful interventions share several common features: multi-stakeholder collaboration, meaningful inclusion of artisanal miners, affordable and accessible digital infrastructure, and alignment with supportive policy and legal frameworks. For Zimbabwe, the key lesson is that digital transformation cannot be achieved through technology transfer alone. Instead, AI and Blockchain systems must be co-designed with mining communities, embedded in local institutional arrangements, and accompanied by regulatory reforms that protect miner rights and data sovereignty. Zimbabwe’s relatively high mobile penetration and active civil society provide a strong foundation, but without inclusive governance, digital tools risk reproducing existing inequalities rather than transforming them. As illustrated in Table 1 , digital interventions in Rwanda, Ghana, the DRC, Sierra Leone and Tanzania reveal both the potential and limitations of AI- and Blockchain-based governance when participatory design is absent. Summary Table 1: Case Study Analysis – Digital Innovations in African ASM Governance Country / Case Technology Adopted Key Outcomes Lessons for Zimbabwe Rwanda – Tantalum Sector Blockchain (Circulor) Improved traceability, reduced smuggling, enhanced ethical sourcing compliance Zimbabwe can adapt blockchain but must first digitize and formalize ASM production data. Ghana – Gold ASM Sector Geo-mapping + Mobile Platforms (Minerals Commission) Improved license mapping, reduced land conflicts, better ASM registration Zimbabwe should develop user-friendly geo-data tools and public cadastral systems. Democratic Republic of Congo (DRC) – Cobalt Sector Blockchain + Mobile Traceability Apps (e.g. MINEP) Helped trace artisanal cobalt flows, but faced elite manipulation and community exclusion Digital tools must include FPIC and local consent to avoid elite capture. Sierra Leone – Diamond Governance Digital diamond passports + community monitoring apps Increased legal trade channels, reduced conflict diamond flows Tech adoption should be backed by strong institutional oversight and community policing. Tanzania – ASM Gold Formalization AI-enabled EIA tools + e-licensing Faster permitting, improved environmental tracking, but weak data protection Zimbabwe must pair AI with data justice protections and public audit capacity. Mapping African Case Studies onto the Digital Justice and Inclusive Resource Governance Framework To move beyond descriptive comparison, this section analytically maps the Rwanda, Ghana, and Democratic Republic of Congo (DRC) case studies onto the Digital Justice and Inclusive Resource Governance (DJ–IRG) framework. This framework integrates principles of participation, equity, data sovereignty, and institutional accountability with digital innovation. The mapping assesses each case across four core governance dimensions: participation and co-design, distribution of value and power, data justice and sovereignty, and institutional mediation. Rwanda: High Traceability, Low Participatory Justice Within the DJ–IRG framework, Rwanda’s blockchain-based tantalum traceability system performs strongly on institutional mediation but weakly on participatory governance. The Circulor platform is embedded within a relatively strong regulatory environment, enabling effective compliance monitoring and alignment with global responsible sourcing standards. This reflects high performance in the institutional capacity pillar of inclusive resource governance. However, from a digital justice perspective, Rwanda’s model scores poorly on co-design and local agency. Artisanal miners were largely excluded from system architecture, rule-setting, and data governance, positioning them as data subjects rather than rights-bearing participants. Value captured through traceability accrues primarily to the state and downstream buyers, with limited redistribution toward mining communities. As such, Blockchain in this context functions more as a tool of market access and reputational signalling than as a mechanism of social empowerment. Under the DJ–IRG framework, Rwanda exemplifies a compliance-driven digital governance model effective for export credibility, but insufficiently transformative for justice-oriented ASM reform. Ghana: Administrative Formalization without Structural Redistribution Ghana’s digital gold trading platforms and AI-enabled spatial governance occupy an intermediate position within the DJ–IRG framework. These initiatives partially advance procedural inclusion by integrating artisanal miners into formal trading systems and reducing dependence on informal intermediaries. AI-driven mapping contributes to improved land-use coordination, reflecting progress in institutional efficiency and regulatory visibility . Nevertheless, the DJ–IRG framework highlights critical shortcomings in power redistribution and data agency. Participation is conditional and compliance-oriented; miners must adapt to state-designed digital systems without corresponding gains in tenure security, pricing power, or collective bargaining capacity. AI tools, while useful, remain centralized and technocratic, limiting community involvement in data validation or interpretation. From a digital justice standpoint, Ghana’s approach reflects instrumental inclusion miners are incorporated into digital systems, but not empowered to shape them. The framework thus classifies Ghana’s model as digitally enhanced formalization, rather than transformative digital governance. Democratic Republic of Congo: Surveillance without Social Legitimacy The DRC’s AI-enabled satellite monitoring initiatives perform strongly on environmental visibility but poorly across nearly all other dimensions of the DJ–IRG framework. AI tools have enhanced the detection of illegal mining and ecological degradation, demonstrating the technical potential of machine learning for environmental governance. However, the absence of robust institutional mediation, coupled with weak enforcement and limited community engagement, undermines both legitimacy and effectiveness. From a digital justice perspective, the DRC case raises acute concerns regarding data sovereignty, consent, and harm. Mining communities are subject to surveillance without participation, protection, or viable livelihood alternatives, reinforcing patterns of coercive governance in a historically extractive political economy. Within the DJ–IRG framework, the DRC illustrates a technocratic surveillance model high on data extraction, low on justice. This case serves as a cautionary example of how AI, when detached from democratic accountability, can exacerbate exclusion and insecurity. Comparative Synthesis: Lessons for Zimbabwe’s ASM Digital Governance When assessed through the DJ–IRG framework, the three cases reveal a common pattern: digital tools succeed technically where institutions are strong, but fail socially where participation, redistribution, and data justice are absent. None of the cases fully satisfy the framework’s criteria for transformative digital governance. Table 2 illustrates a comparative mapping of digital governance. Table 2 Comparative Mapping of Case Studies For Zimbabwe, the DJ–IRG framework offers a pathway to avoid these pitfalls by embedding participation, legal reform, and community data ownership at the core of digital mining initiatives. Rather than adopting blockchain for reputational compliance or AI for surveillance, Zimbabwe can pioneer a justice-centered digital governance model one that treats artisanal miners as co-creators of digital systems and rightful beneficiaries of mineral value chains. Theoretical Contribution By explicitly mapping empirical cases onto the Digital Justice and Inclusive Resource Governance framework, this study advances the literature in two ways. First, it demonstrates that digital transformation in ASM is not a binary success–failure question, but a spectrum shaped by governance choices. Second, it reframes AI and blockchain as political technologies whose developmental outcomes depend on power, participation, and institutional design. This theoretical integration strengthens the argument that digital governance in Africa must be evaluated not only by efficiency gains, but by its capacity to deliver justice, sovereignty, and inclusive development. Findings and Discussion Stakeholders identified significant potential for AI and blockchain to enhance traceability, environmental monitoring, and market access in ASM. These findings are consistent with global extractives literature emphasizing the role of digital tools in supply chain governance (World Bank, 2020 ; OECD, 2019 ). However, structural barriers including infrastructural deficits, digital illiteracy, policy inconsistency, and mistrust between miners and the state continue to limit adoption (Hilson & McQuilken, 2014 ; ZELA, 2022 ). Community engagement emerged as a decisive factor shaping technology uptake. Initiatives that excluded miners during design phases experienced low legitimacy and resistance, reinforcing critiques that digital systems often reproduce existing power asymmetries (Ribot & Peluso, 2003 ; Gaventa, 2006 ). Institutional readiness remains fragmented, with governance silos and limited regulatory frameworks for digital mining technologies (Government of Zimbabwe, 2021 ; Ministry of ICT, 2020 ). Technological Potential Exists but Remains Underutilized Across stakeholder groups, there was broad recognition of the transformative potential of AI and Blockchain for improving traceability, environmental monitoring, mine safety, and market access within the ASM sector. AI applications were perceived as particularly valuable for land-use monitoring, detection of environmental degradation, and early-warning systems for flooding or mine collapses. Blockchain technologies were viewed as mechanisms for enhancing transparency, reducing dependence on informal intermediaries, and facilitating access to formal and ethical mineral markets. Despite this perceived value, empirical findings reveal minimal local experimentation or adoption. The core limitation is therefore not technological feasibility, but the absence of locally adapted deployment models and enabling ecosystems. Persistent Structural and Political Barriers Structural barriers emerged as a dominant constraint to digital adoption. Interviewees consistently cited poor rural connectivity, high costs of digital devices, unreliable electricity supply, and low levels of digital literacy among artisanal miners. These infrastructural limitations are compounded by deeper political and institutional challenges, including policy incoherence, regulatory uncertainty, and persistent mistrust between mining communities and the state. Several respondents highlighted elite capture of ASM formalization processes, which has marginalized small-scale miners and discouraged engagement with state-led digital initiatives. These findings underscore that digital exclusion in ASM is not merely technical, but embedded within broader political-economic structures. Community Engagement as a Determinant of Adoption A central empirical insight is that meaningful community engagement is critical to the success of digital governance interventions. Stakeholders emphasized that initiatives designed without the participation of artisanal miners tend to face resistance, low uptake, or outright failure. Effective engagement was associated with participatory co-design processes, the use of local languages and culturally appropriate interfaces, and reliance on trusted intermediaries such as mining cooperatives, traditional leadership structures, and civil society organizations. In the absence of such mechanisms, Blockchain platforms were commonly perceived as externally imposed compliance tools, while AI systems were associated with surveillance rather than support. This finding aligns closely with the principles of digital justice, which stress co-creation, trust, and data sovereignty. Fragmented Institutional Readiness Institutional readiness for digital transformation in ASM was found to be uneven and fragmented. Key state actors including the Ministry of Mines and Mining Development, the Environmental Management Agency (EMA), and law enforcement agencies operate largely in silos, with limited coordination around digital innovation. Zimbabwe currently lacks a national digital mining strategy or a legal framework governing the deployment of AI and Blockchain technologies in extractive sectors. Institutional inertia, limited technical capacity, and risk aversion further constrain experimentation. Nonetheless, emerging initiatives such as the Ministry of ICT’s Smart Zimbabwe agenda and donor-supported data governance programs suggest modest but important entry points for reform. Synthesis Collectively, these findings indicate that while the integration of AI and Blockchain into Zimbabwe’s ASM sector is both desirable and technically feasible, success will depend on governance transformation rather than technology transfer alone. A justice-oriented, community-anchored digital strategy is required one that aligns legal reform, institutional coordination, and grassroots participation. Without deliberate efforts to bridge the divide between high-tech innovation and lived realities in mining communities, digital tools risk reproducing the very inequalities they are intended to resolve. Table 3 , summarises the findings from the study. Table 3 Findings and, Discussion – AI and Blockchain in Zimbabwe’s ASM Sector Thematic Area Key Findings Implications Traceability and Informality ASM remains highly informal and poorly documented. Blockchain cannot function without reliable baseline data. Risk of excluding informal miners; Blockchain may benefit exporters more than local actors. AI for Monitoring and Enforcement AI tools (e.g. satellite, predictive analytics) are promising but not institutionally integrated. Missed opportunity for real-time oversight; needs technical capacity and policy alignment. Technological Inequity Platforms are controlled by state or private actors; ASM miners lack access and digital literacy. Technologies risk reproducing elite control and widening digital exclusion. Data Justice and Sovereignty No legal framework for data protection, ownership, or community consent in digital systems. Raises ethical concerns; communities risk becoming subjects of data extraction without benefits. Reform Potential Digital tools could improve licensing, monitoring, and reporting if paired with institutional reform. Political will and inclusive tech governance are critical for success. Policy Recommendations To enable the inclusive and transformative deployment of Artificial Intelligence (AI) and Blockchain technologies in Zimbabwe’s Artisanal and Small-Scale Mining (ASM) sector, this study advances the following actionable policy recommendations. These proposals are grounded in the empirical findings and informed by principles of inclusive resource governance and digital justice. Develop a National Digital Mining Strategy The Government of Zimbabwe should formulate a comprehensive National Digital Mining Strategy that explicitly governs the ethical deployment of AI and Blockchain in the extractive sector. This strategy should be aligned with the Smart Zimbabwe 2030 agenda and the Africa Mining Vision, while formally recognizing ASM as a priority sector. Crucially, artisanal miners, cooperatives, and civil society organizations should be represented in the strategy’s design and oversight structures to prevent elite capture and ensure policy legitimacy. Establish Community-Based Technology Hubs Public and donor investment should support the establishment of community-based digital technology hubs in major ASM. These hubs would provide internet access, digital literacy training, Blockchain onboarding support, and access to environmental and market information. Co-management by mining cooperatives, local authorities, and non-governmental organizations would enhance trust, sustainability, and local ownership. Institutionalize Participatory Technology Design All digital governance initiatives in ASM should be subject to mandatory participatory co-design processes. Special emphasis should be placed on the inclusion of women, youth, and informal miners who are often excluded from formal decision-making. Platforms should prioritize mobile accessibility, local language interfaces, and human-centered design to ensure usability and broad adoption. Create Legal and Regulatory Enablers for Digital Governance Zimbabwe should introduce a dedicated legal framework governing the use of AI and Blockchain in mining. Key provisions should address data privacy, data sovereignty, community ownership of mining-related data, and intellectual property rights. Clear regulatory safeguards are essential to prevent surveillance abuse, protect miner rights, and build trust in digital systems. Pilot Blockchain-Based Certification and Revenue-Sharing Schemes The government, in partnership with development partners, should initiate pilot Blockchain traceability and certification projects in selected ASM districts such as Mazowe or Kadoma. These pilots should integrate smart contracts that enable transparent revenue-sharing mechanisms, including contributions to community development funds and environmental rehabilitation initiatives. Strengthen Cross-Sector Institutional Coordination An inter-ministerial coordination body should be established, bringing together the Ministries responsible for Mines, ICT, Environment, Local Government, and relevant civil society actors. This body would oversee policy harmonization, monitor implementation, and reduce institutional fragmentation that currently undermines digital innovation in ASM governance. Promote Open-Source and Low-Cost Digital Innovation To ensure affordability and adaptability, Zimbabwe should prioritize open-source, low-cost AI and Blockchain solutions tailored to its infrastructural constraints. Strategic partnerships with local universities, research institutions, and technology incubators can support context-specific innovation while reducing reliance on proprietary foreign platforms. Table 4 provides a summary of the policy recommendations for AI and Blockchain in Zimbabwe ASM sector. Summary Table 4: Policy Recommendations for AI & Blockchain in Zimbabwe’s ASM Sector Policy Focus Recommendation Expected Outcome Digital Mining Strategy Develop a national strategy aligned with Smart Zimbabwe 2030, incorporating ethical AI/blockchain use and ASM representation. Guides structured, inclusive, and ethical tech adoption. Community Access & Capacity Establish rural technology hubs for training, internet access, and blockchain onboarding. Enhances digital inclusion and empowers artisanal miners. Inclusive Design Institutionalize participatory co-design with miners, using mobile-friendly, locally translated tools. Ensures usability, local relevance, and wider adoption. Legal & Regulatory Framework Enact laws on data sovereignty, privacy, IP, and digital governance in mining. Protects miners’ data rights and creates a legal foundation for tech use. Pilot Projects Launch blockchain traceability pilots in Mazowe, Kadoma with smart contracts for community funds. Tests viability while channeling benefits directly to local communities. Cross-Sector Governance Build inter-ministerial taskforces to coordinate tech policy implementation across sectors. Improves institutional alignment and policy coherence. Innovation Support Promote open-source, low-cost AI/blockchain tools via local universities and incubators. Fosters affordable, context-relevant innovation tailored to Zimbabwe’s needs. Conclusion Zimbabwe stands at a critical juncture where digital innovation can either reinforce long-standing inequalities or serve as a catalyst for justice, inclusion, and sustainability within the Artisanal and Small-Scale Mining (ASM) sector. This study has demonstrated that Artificial Intelligence (AI) and Blockchain are not technological panaceas; their developmental value depends fundamentally on the political, legal, and institutional contexts in which they are deployed. The principal constraints to digital transformation in Zimbabwe’s ASM sector are therefore not technical in nature, but structural rooted in fragmented governance, regulatory inertia, infrastructural exclusion, and the systematic marginalization of artisanal mining communities. Drawing on comparative African case studies and stakeholder insights, the article has shown that digital tools can enhance transparency, environmental oversight, and market access when embedded within participatory governance frameworks. Where artisanal miners are involved in co-design processes, where legal safeguards protect data sovereignty, and where institutions coordinate effectively, digital technologies can disrupt exploitative value chains rather than reproduce them. Conversely, technocratic or top-down deployments risk entrenching surveillance, elite capture, and new forms of digital exclusion. The central contribution of this study lies in advancing a justice-oriented framework for digital resource governance one that repositions artisanal miners as active co-creators of technological futures rather than passive subjects of regulation. For Zimbabwe, embracing AI and blockchain in ASM governance is not merely a question of modernization or efficiency; it is a fundamentally democratic project concerned with who controls data, who captures value, and whose voices shape mineral governance. The challenge ahead is therefore political as much as technological. A digitally enabled ASM sector grounded in inclusion, accountability, and local empowerment offers a viable pathway toward mineral sovereignty and sustainable development. The future of mining in Zimbabwe will be determined not by technology alone, but by the justice with which it is governed. Declarations Data Availability Statement The datasets generated during and/or analysed during the current study are not publicly available due to confidentiality agreements with artisanal and small-scale mining participants but are available from the corresponding author on reasonable request. Consent to Publish Informed consent to publish study findings was obtained from all participants. No individual-identifiable data are included in this manuscript. Consent to Participate Freely given, informed consent to participate in the study was obtained from all participants prior to data collection. No participant was below the age of 18 throughout the entire study. Ethical Approval and Accordance Ethical approval for this study was obtained from the Zimbabwe Open University Ethics Committee. The study was conducted in accordance with the ethical guidelines and regulations governing research involving human participants, including principles of voluntary participation, informed consent, confidentiality, and protection of participants from harm. These guidelines are contained in the Handbook for Regulations and ZOU House Style 2017. Author Contribution Kevin Tirivanhu Gwatidzo is the author of this research manuscript. Data Availability The datasets generated during and/or analysed during the current study are not publicly available due to confidentiality agreements with artisanal and small-scale mining participants but are available from the corresponding author on reasonable request. References African Union. (2009). Africa Mining Vision . https://au.int/en/africaminingvision Chamber of Mines of Zimbabwe. (2023). Annual report . https://chamberofminesofzimbabwe.com/. Circulor. (2021). Blockchain traceability in Rwanda’s tantalum sector . https://www.circulor.com Circulor. Rwanda minerals traceability report. Circulor Ltd.; 2021. Couldry N, Mejias UA. Data colonialism: Rethinking big data’s relation to the contemporary subject. Telev New Media. 2019;20(4):336–49. https://doi.org/10.1177/1527476418796632 . D’Ignazio C, Klein LF. Data feminism. MIT Press; 2020. Dencik L, Hintz A, Redden J, Treré E. Data justice. Internet Policy Rev. 2019;8(2):1–22. https://doi.org/10.14763/2019.2.1423 . Denzin NK, Lincoln YS, editors. The SAGE handbook of qualitative research. 5th ed. SAGE; 2018. Fisher E, Radley B, Irwin M, Mutagwaba W. Mining and social transformation in Africa. World Dev. 2020;130:104927. https://doi.org/10.1016/j.worlddev.2020.104927 . Gaventa J. Finding the spaces for change: A power analysis. IDS Bull. 2006;37(6):23–33. Global Witness. (2020). Deforestation and corruption in the Congo Basin . Global Witness. Global Witness. (2020). Digging for transparency: Satellite monitoring of illegal mining in the DRC . https://www.globalwitness.org Government of Zimbabwe. (2021). National Development Strategy 1 (2021–2025) . Government Printer. Government of Zimbabwe. (2022). Mines and Minerals Act [Chapter 21:05] . Government Printer. Heeks R, Renken J. Data justice for development: What would it mean? Inform Dev. 2018;34(1):90–102. https://doi.org/10.1177/0266666916678282 . Hilson G. Small-scale mining, poverty and economic development in sub-Saharan Africa: An overview. Resour Policy. 2010;34(1):1–5. https://doi.org/10.1016/j.resourpol.2008.12.001 . Hilson G, McQuilken J. Four decades of support for ASM in sub-Saharan Africa. Extractive Industries Soc. 2014;1(1):104–18. Hilson G, Amankwah R, Ofori-Sarpong G. Going for gold: Transitional livelihoods in Ghana’s ASM sector. Resour Policy. 2013;38(4):537–45. IPIS. Artisanal mining and traceability in the Great Lakes Region. International Peace Information Service; 2020. IPIS. Mapping artisanal mining in eastern DRC. International Peace Information Service; 2021. Kaplan AM, Haenlein M. Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Bus Horiz. 2019;62(1):15–25. https://doi.org/10.1016/j.bushor.2018.08.004 . KPMG. (2022). Blockchain and mining transparency in East Africa . https://home.kpmg. KPMG. Blockchain applications in mineral supply chains. KPMG International; 2022. Lahiri-Dutt K. Between street and screen: Exploring the digital lives of women in artisanal mining. Extractive Industries Soc. 2018;5(2):313–20. https://doi.org/10.1016/j.exis.2017.12.010 . Lehtiniemi T, Ruckenstein M. The social imaginaries of data activism. Big Data Soc. 2019;6(1):1–12. https://doi.org/10.1177/2053951718821146 . Minerals Commission of Ghana. (2022). ASM digital initiatives report . https://www.mincom.gov.gh/ Ministry of ICT. Smart Zimbabwe 2030 blueprint. Government of Zimbabwe; 2020. Mukwakwami T, Mavhunga C. (2021). Formalization of ASM in Zimbabwe: An assessment. Zimbabwe Environ Law Association (ZELA). https://www.zela.org OECD. Due diligence guidance for responsible mineral supply chains. OECD Publishing; 2019. Ostrom E. Beyond markets and states: Polycentric governance. Am Econ Rev. 2010;100(3):641–72. Radley B, Geenen S. Struggles over value in ASM. World Dev. 2021;140:105286. Ribot JC, Peluso NL. A theory of access. Rural Sociol. 2003;68(2):153–81. Taylor L. What is data justice? Big Data Soc. 2017;4(2). https://doi.org/10.1177/2053951717736335 . Taylor L, Broeders D. In the name of development: Power, profit and the datafication of the global South. Geoforum. 2015;64:229–37. https://doi.org/10.1016/j.geoforum.2015.07.002 . UNCTAD. (2020). Digital economy report: Cross-border data flows and development . United Nations Conference on Trade and Development. https://unctad.org UNCTAD. Blockchain for development. United Nations; 2021. UNEP. Artificial intelligence and the environment: Case studies. United Nations Environment Programme; 2021. https://www.unep.org . World Bank. Ghana ASM formalization review. World Bank; 2019. World Bank. Blockchain and distributed ledger technology in the extractive industries. World Bank; 2020. World Bank. (2021). Responsible sourcing and blockchain in mineral supply chains . https://www.worldbank.org World Economic Forum. (2022). Mining and metals blockchain initiative . https://www.weforum.org Yli-Huumo J, Ko D, Choi S, Park S, Smolander K. Where is current research on blockchain technology?—A systematic review. PLoS ONE. 2016;11(10):e0163477. https://doi.org/10.1371/journal.pone.0163477 . ZELA. ASM governance and accountability in Zimbabwe. Zimbabwe Environmental Law Association; 2022. Additional Declarations No competing interests reported. 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In the contemporary period, Artisanal and Small-Scale Mining (ASM) has emerged as a central, yet structurally marginalised, component of the national mining economy. The sector is estimated to contribute over 60 percent of Zimbabwe\u0026rsquo;s gold output and to sustain approximately 1.5\u0026nbsp;million livelihoods, particularly in rural areas characterised by limited formal employment opportunities (Chamber of Mines of Zimbabwe, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Despite its economic significance, ASM remains predominantly informal and is associated with persistent environmental degradation, opaque trading networks, occupational precarity, and limited participation in formal policy and investment frameworks (ZELA, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThese governance challenges are not incidental. Rather, they reflect deeper structural features of Zimbabwe\u0026rsquo;s mineral governance regime, which continues to privilege large-scale corporate mining and foreign investment over small-scale, community-based production systems. The Mines and Minerals Act [Chapter 21:05], a legislative instrument rooted in the colonial era, remains the primary legal framework governing mineral extraction and provides limited recognition of ASM-specific realities, including environmental management, technological upgrading, and participatory governance (Government of Zimbabwe, 2022). While the state has introduced a range of formalisation initiatives such as gold delivery incentives and mobile gold buying schemes implementation has been uneven, under-resourced, and frequently undermined by elite capture and weak institutional coordination (Mukwakwami \u0026amp; Mavhunga, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eWithin this context, digital technologies present a potentially transformative, yet underutilised, avenue for addressing long-standing governance deficits in the ASM sector. Globally, Artificial Intelligence (AI) and Blockchain technologies are increasingly reshaping mineral governance by improving monitoring, traceability, and regulatory compliance. AI refers to a system\u0026rsquo;s capacity to interpret external data, learn from it, and apply those insights to achieve specific objectives through adaptive processes (Kaplan \u0026amp; Haenlein, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). In the extractive sector, AI-enabled satellite imagery and machine learning tools are being deployed to detect illegal mining activities, assess environmental impacts, and support real-time compliance monitoring (UNCTAD, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Blockchain, defined as a decentralised and tamper-resistant distributed ledger system (Yli-Huumo et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2016\u003c/span\u003e), has similarly gained traction as a mechanism for mineral traceability and ethical certification. Platforms such as Everledger and Minespider have been implemented in countries including Rwanda, Ghana, and the Democratic Republic of Congo to verify mineral provenance and facilitate responsible sourcing across global supply chains (World Bank, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eZimbabwe, however, has yet to integrate these digital innovations into its mining governance architecture in a systematic manner. Although digital financial services have expanded rapidly in other sectors, the mining industry particularly ASM remains technologically underdeveloped. Most artisanal miners lack access to digital tools, geospatial data, and reliable internet connectivity, while state institutions have not articulated a coherent digital mining strategy or established regulatory frameworks governing the deployment of AI and Blockchain technologies in extractives. This technological gap reinforces existing structural inequalities, contributing to a dualistic mining economy in which large-scale operators participate in global traceability initiatives, while ASM producers remain embedded in informal and often exploitative supply chains (African Union, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2009\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThis paper contends that AI and Blockchain technologies can contribute to more inclusive, transparent, and accountable mineral governance in Zimbabwe\u0026rsquo;s ASM sector, but only if their design and implementation are grounded in participatory, justice-oriented principles. Rather than treating digitalisation as a technocratic solution, the study emphasises the importance of co-design, institutional reform, and community engagement in shaping digital interventions. By drawing on comparative international case studies, analysing policy and regulatory gaps, and proposing a context-sensitive digital governance framework, the article seeks to advance debates on inclusive resource governance and to reposition artisanal miners as active agents in the digital transformation of Africa\u0026rsquo;s extractive economies.\u003c/p\u003e\n\u003ch3\u003eConceptual Framework: Digital Justice and Inclusive Resource Governance\u003c/h3\u003e\n\u003cp\u003eThis study is grounded in two intersecting theoretical perspectives: Inclusive Resource Governance and Digital Justice in the Global South. Together, they provide an analytical lens for examining how Artificial Intelligence (AI) and Blockchain can reshape the governance of Zimbabwe\u0026rsquo;s Artisanal and Small-Scale Mining (ASM) sector in ways that are inclusive, accountable, and socially just. Inclusive Resource Governance argues that effective mineral management must extend beyond economic efficiency to include democratic participation, social equity, and environmental stewardship (Hilson, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). Consistent with the Africa Mining Vision (African Union, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2009\u003c/span\u003e), this perspective recognises ASM as a structurally significant livelihood system rather than a marginal or transitional activity. Governance models that exclude artisanal miners from decision-making and formal value chains have been shown to reinforce poverty, gender inequality, and environmental degradation (Lahiri-Dutt, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eComplementing this, the Digital Justice framework highlights that digital technologies are not neutral; they embody power relations and institutional priorities (D\u0026rsquo;Ignazio \u0026amp; Klein, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Digital justice refers to an approach to digital transformation that foregrounds equity, power, participation, and rights in the design, deployment, and governance of digital technologies. It recognizes that digital systems are not neutral technical tools, but socio-political infrastructures that can either reproduce existing inequalities or actively redistribute power and opportunity, particularly in marginalized communities, (D\u0026rsquo;Ignazio \u0026amp; Klein, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). In extractive sectors, technologies such as AI-driven monitoring or Blockchain-based traceability can entrench exclusion if they are designed without community participation or regulatory safeguards. Blockchain systems developed by external actors may impose technical barriers that marginalise artisanal miners (Taylor \u0026amp; Broeders, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2015\u003c/span\u003e), while AI-based surveillance risks undermining local knowledge and data sovereignty when deployed without consent.\u003c/p\u003e \u003cp\u003eBy integrating these frameworks, the study advances a model of Transformative Digital Governance, which conceptualises AI and Blockchain as socio-technical tools whose impacts depend on inclusive design, democratic oversight, and institutional accountability. As illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, Blockchain is framed as a mechanism for traceability and fair value distribution, while AI supports environmental monitoring and mine safety, provided both are co-designed with miners, adapted to low-cost mobile platforms, and governed through transparent public institutions. This framework reframes Zimbabwe\u0026rsquo;s ASM sector as a legitimate site of innovation and agency, offering an analytical foundation for assessing whether digital technologies reproduce existing inequalities or enable more democratic and locally grounded forms of resource governance.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eTheoretical Positioning\u003c/h2\u003e \u003cp\u003eThis study is theoretically anchored in an integrated Digital Justice and Inclusive Resource Governance framework, which bridges critical data studies and political economy approaches to extractive governance. Drawing on digital justice scholarship, the framework conceptualizes AI and blockchain not as neutral efficiency tools but as socio-technical systems embedded in relations of power, access, and exclusion (Dencik et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Taylor, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). At the same time, insights from inclusive resource governance emphasize that access to technology does not automatically translate into control or benefit, particularly in contexts marked by institutional asymmetry and elite capture (Ribot \u0026amp; Peluso, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Ostrom, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). By integrating these perspectives, the framework advances an analytically grounded approach for assessing whether digital interventions in ASM redistribute decision-making power, protect community data rights, and enhance participatory governance, or whether they reinforce extractive and surveillance-oriented models of control (Couldry \u0026amp; Mejias, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Heeks \u0026amp; Renken, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). This positioning enables the study to move beyond techno-optimism and contribute a justice-oriented lens to debates on digital transformation in Africa\u0026rsquo;s extractive sectors.\u003c/p\u003e \u003c/div\u003e"},{"header":"Literature Review","content":"\u003cp\u003eThe intersection of digital technologies and resource governance has attracted growing scholarly attention, particularly in contexts characterised by informality, opacity, and weak institutional capacity. Recent literature examines how Artificial Intelligence (AI), Blockchain, and other data-driven systems are reshaping governance in extractive industries, with mixed implications for transparency, accountability, and social justice. AI has been extensively studied for its applications in environmental monitoring, mineral detection, and predictive analytics. Empirical studies highlight the use of satellite imagery and remote sensing to detect illegal mining, assess land degradation, and monitor water pollution (UNEP, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). These technologies offer significant potential to enhance regulatory oversight and environmental protection. However, critical scholars caution that AI-driven governance may deepen asymmetries of power if deployed without participatory safeguards, particularly in contexts where artisanal mining is criminalised and subject to coercive regulation (Taylor \u0026amp; Broeders, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). In such settings, AI risks functioning as a tool of surveillance rather than inclusion.\u003c/p\u003e \u003cp\u003eBlockchain technology has similarly gained prominence for its promise to improve mineral traceability and ethical sourcing. Pilot initiatives in Rwanda, Ghana, and the Democratic Republic of Congo demonstrate how distributed ledgers can reduce smuggling, verify provenance, and enhance compliance with international due diligence standards (World Economic Forum, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Yet, the literature also highlights important limitations. Blockchain systems often rely on external technical expertise, stable internet infrastructure, and formalised production processes, conditions that frequently exclude artisanal miners (Lehtiniemi \u0026amp; Ruckenstein, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). As a result, blockchain may reinforce existing hierarchies within mineral value chains unless embedded within inclusive institutional and legal frameworks.\u003c/p\u003e \u003cp\u003eZimbabwe-specific scholarship underscores persistent governance failures within the ASM sector, including informality, exploitative trading networks, and elite capture. Mukwakwami and Mavhunga (\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) document how politically connected actors dominate gold marketing and mineral exports, limiting community-level benefits. Reports by ZELA (\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) and the Chamber of Mines of Zimbabwe (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) similarly call for decentralised, transparent, and participatory regulatory frameworks that recognise ASM as a central pillar of rural livelihoods. However, this body of work largely treats governance reform as a legal or institutional challenge, with limited engagement with the role of digital technologies.\u003c/p\u003e \u003cp\u003eInsights from feminist data science and critical development studies extend this debate by introducing the concept of data justice, which frames access to data, control over digital infrastructure, and participation in technological governance as political rights (D’Ignazio \u0026amp; Klein, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). This perspective is particularly salient in Zimbabwe, where ASM communities are routinely excluded from geological information, land registries, and market data. Without deliberate efforts to address these digital inequalities, emerging technologies risk reproducing historical patterns of exclusion rather than transforming them.\u003c/p\u003e \u003cp\u003eDespite a growing body of scholarship on digitalisation in extractives, a clear gap remains. Few studies examine how AI and Blockchain can be deliberately designed to empower artisanal miners, strengthen local accountability, and redistribute value within mineral economies. Empirical research on Zimbabwe is especially limited, and co-design approaches that centre community agency remain underexplored. This study addresses this gap by reframing digital transformation not as a technocratic intervention, but as a political and ethical project aimed at inclusive resource governance. It asks how digital technologies can be integrated into Zimbabwe’s ASM sector in ways that promote transparency, equity, and local empowerment, rather than reinforcing extractivist logics through high-tech means.\u003c/p\u003e\n"},{"header":"Research Design and Methodology","content":"\u003cp\u003eThis study employs a qualitative, exploratory research design aimed at understanding how digital technologies specifically Artificial Intelligence (AI) and Blockchain can be harnessed to promote inclusive and ethical governance in Zimbabwe\u0026rsquo;s Artisanal and Small-Scale Mining (ASM) sector. Given the emergent and context-specific nature of digital transformation in mining, a qualitative approach is most appropriate for capturing the complexities, perceptions, and lived experiences of stakeholders across the sector (Denzin \u0026amp; Lincoln, \u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e). The research design is guided by principles of critical social inquiry and participatory ethics, which interrogate power relations, exclusion, and knowledge hierarchies within development interventions (Gaventa, \u003cspan class=\"CitationRef\"\u003e2006\u003c/span\u003e; Heeks \u0026amp; Renken, \u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e). Rather than treating technology as neutral, the study aligns with digital justice scholarship that situates digital systems within broader political, economic, and social structures (Dencik et al., \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Taylor, \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003e30 Semi-structured interviews were conducted with artisanal miners, community leaders, government officials, civil society actors, and digital technology developers to explore governance challenges, technological experiences, and attitudes toward AI and Blockchain. Document analysis drew on mining legislation, national policy frameworks (Government of Zimbabwe, \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e; Ministry of ICT, \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e), and reports from civil society and multilateral institutions (ZELA, \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; World Bank, \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e; UNCTAD, \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e). These documents were analyzed to identify discursive patterns, governance gaps, and technological blind spots in ASM formalization. Data collection was conducted over a six-month period between March 2025 and August 2025, allowing for iterative analysis and respondent validation.\u003c/p\u003e\n\u003cp\u003eComparative case studies from Rwanda, Ghana, and the Democratic Republic of Congo (DRC) were used to assess how digital technologies interact with institutional capacity and community participation in ASM governance (Hilson \u0026amp; McQuilken, \u003cspan class=\"CitationRef\"\u003e2014\u003c/span\u003e; IPIS, \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e). Data were analyzed using thematic coding guided by concepts of inclusive resource governance (Ostrom, \u003cspan class=\"CitationRef\"\u003e2010\u003c/span\u003e; Ribot \u0026amp; Peluso, \u003cspan class=\"CitationRef\"\u003e2003\u003c/span\u003e) and digital justice (Couldry \u0026amp; Mejias, \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e\n\u003ch3\u003eCase Study Analysis: Digital Innovations in African ASM Governance\u003c/h3\u003e\n\u003cp\u003eTo assess the feasibility of deploying Artificial Intelligence (AI) and Blockchain technologies in Zimbabwe\u0026rsquo;s Artisanal and Small-Scale Mining (ASM) sector, this section examines three comparative case studies from Rwanda, Ghana, and the Democratic Republic of Congo (DRC). These cases were selected because they represent early attempts to integrate digital tools into ASM governance within African contexts characterized by informality, weak institutions, and contested mineral value chains. Together, they provide instructive insights into the opportunities, limitations, and governance conditions necessary for successful digital adoption.\u003c/p\u003e\n\u003ch3\u003eRwanda: Blockchain for Tantalum Traceability\u003c/h3\u003e\n\u003cp\u003eRwanda has emerged as a regional leader in mineral traceability through its collaboration with Circulor, a UK-based blockchain firm. The platform enables end-to-end tracking of tantalum exports by recording mineral origin, custody transfers, and compliance data on an immutable digital ledger, aligning Rwanda\u0026rsquo;s exports with OECD due diligence standards (Circulor, \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e; OECD, \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e). While the system has strengthened state oversight and buyer confidence, evaluations indicate that artisanal miners were largely excluded from system design, and participation costs remain prohibitive for small-scale operators (KPMG, \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e; IPIS, \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). As a result, blockchain adoption has reinforced centralized control rather than redistributing power along the value chain.\u003c/p\u003e\n\u003cp\u003eDespite these gains, critical assessments reveal that the traceability system is primarily designed to serve state regulators and downstream corporate buyers rather than artisanal miners themselves. Artisanal and small-scale miners were largely excluded from the design and governance of the platform, limiting their agency within the digital value chain. Participation requires access to digital devices, stable connectivity, and compliance with standardized reporting protocols costs that remain prohibitive for many small-scale operators (KPMG, \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). Consequently, blockchain adoption has functioned less as a tool for inclusion and more as an instrument of upward accountability, reinforcing state and corporate oversight while reproducing existing power asymmetries at the mine level.\u003c/p\u003e\n\u003cp\u003eThe Rwandan case thus illustrates a central tension in digital resource governance: while blockchain can enhance transparency and market access at the macro level, its developmental impact depends on whether artisanal miners are positioned as co-owners of digital infrastructure or merely as data providers within externally governed systems. Without deliberate measures to reduce entry barriers, ensure participatory design, and embed benefit-sharing mechanisms, Blockchain traceability risks entrenching a form of \u0026ldquo;digital enclosure\u0026rdquo; in which value is captured at the top of the supply chain while governance burdens are transferred downward. For Zimbabwe, this case underscores the importance of pairing traceability technologies with institutional reforms that prioritize miner inclusion, affordability, and local value retention.\u003c/p\u003e\n\u003ch2\u003eGhana: Digital Gold Trading and AI-Enabled Spatial Governance\u003c/h2\u003e\n\u003cp\u003eGhana has emerged as a key laboratory for digital innovation in artisanal and small-scale gold mining, particularly through the deployment of mobile-based digital gold trading platforms and AI-supported spatial mapping initiatives. These interventions, supported by the Minerals Commission of Ghana in collaboration with international development partners, aim to formalize ASM operations by linking miners directly to licensed buyers, improving price transparency, and reducing reliance on informal intermediaries (Minerals Commission of Ghana, \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). Complementary AI-driven geospatial tools have been employed to map active ASM zones, resolve land-use conflicts, and enhance regulatory oversight by identifying environmentally sensitive areas and illegal encroachments. In Ghana, digital gold trading platforms and AI-supported geospatial mapping have been used to improve ASM formalization and land-use planning (World Bank, \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Minerals Commission of Ghana, \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e). These initiatives have reduced buyer opacity and improved regulatory targeting, yet challenges persist related to digital literacy, rural connectivity, and political contestation over mining spaces (Hilson et al., \u003cspan class=\"CitationRef\"\u003e2013\u003c/span\u003e; Fisher et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eWhile these initiatives have demonstrated measurable gains in administrative efficiency and regulatory visibility, their inclusive impact remains uneven. Access to digital trading platforms presupposes functional literacy, mobile connectivity, and trust in state institutions conditions that are not uniformly present across Ghana\u0026rsquo;s ASM landscape. Many miners reported difficulties navigating digital interfaces and expressed concerns over increased surveillance and taxation without commensurate improvements in services or legal security. AI-based spatial mapping, though valuable for planning and enforcement, has largely been implemented through top-down institutional processes, with limited involvement of mining communities in data validation or decision-making.\u003c/p\u003e\n\u003cp\u003eAs a result, Ghana\u0026rsquo;s experience illustrates how digital formalization can inadvertently reproduce asymmetries between the state and artisanal miners if participation is framed primarily in terms of compliance rather than empowerment. Digital tools have improved visibility and traceability, but have not fundamentally altered miners\u0026rsquo; bargaining power within gold value chains. For Zimbabwe, the Ghanaian case highlights the need to integrate digital innovation with trust-building measures, cooperative governance models, and tangible incentives for miners such as access to finance, secure tenure, and social protection if technology-driven formalization is to be both effective and equitable.\u003c/p\u003e\n\u003ch3\u003eDemocratic Republic of Congo: AI-Enabled Satellite Monitoring and Environmental Surveillance\u003c/h3\u003e\n\u003cp\u003eThe Democratic Republic of Congo (DRC) has experimented with Artificial Intelligence enabled satellite monitoring as a mechanism for addressing environmental degradation and illegal mining in mineral-rich regions. Through partnerships involving government agencies, civil society organizations, and international donors, machine-learning algorithms have been applied to high-resolution satellite imagery to detect deforestation, river pollution, and unauthorized mining activities in near real time (Global Witness, \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). In the DRC, satellite imagery and machine learning tools have been deployed to monitor deforestation, illegal mining, and environmental degradation in conflict-affected ASM zones (IPIS, \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e; Global Witness, \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). While these systems enhance transparency, scholars caution that they risk reproducing top-down surveillance models that marginalize artisanal miners and local communities (Radley \u0026amp; Geenen, \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e; Couldry \u0026amp; Mejias, \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eHowever, the deployment of AI-driven surveillance in the DRC has been accompanied by profound governance and ethical challenges. Weak institutional capacity and limited enforcement power have constrained the translation of digital detection into meaningful accountability. Moreover, mining communities have had little say in how data is collected, interpreted, or used, raising concerns about consent, data ownership, and the criminalization of livelihood activities in the absence of viable economic alternatives. In contexts marked by conflict, militarization, and historical extraction, AI surveillance risks becoming a tool of coercive control rather than environmental justice.\u003c/p\u003e\n\u003cp\u003eThe DRC case underscores the dangers of decoupling technological innovation from democratic governance. While AI systems can generate unprecedented environmental insights, their legitimacy and effectiveness depend on transparent oversight, community participation, and safeguards against misuse. Without these conditions, digital monitoring may intensify exclusion and exacerbate tensions between artisanal miners, the state, and security actors. For Zimbabwe, the lesson is clear: AI-based environmental governance must be designed as a participatory and restorative mechanism supporting rehabilitation, risk reduction, and livelihood diversification rather than as a purely punitive or surveillance-driven intervention.\u003c/p\u003e\n\u003ch3\u003eComparative Insights and Implications for Zimbabwe\u003c/h3\u003e\n\u003cp\u003eTaken together, these cases demonstrate that digital technologies can enhance transparency, traceability, and environmental oversight in ASM, but their effectiveness depends less on technical sophistication than on governance design. Successful interventions share several common features: multi-stakeholder collaboration, meaningful inclusion of artisanal miners, affordable and accessible digital infrastructure, and alignment with supportive policy and legal frameworks. For Zimbabwe, the key lesson is that digital transformation cannot be achieved through technology transfer alone. Instead, AI and Blockchain systems must be co-designed with mining communities, embedded in local institutional arrangements, and accompanied by regulatory reforms that protect miner rights and data sovereignty. Zimbabwe\u0026rsquo;s relatively high mobile penetration and active civil society provide a strong foundation, but without inclusive governance, digital tools risk reproducing existing inequalities rather than transforming them. As illustrated in \u003cstrong\u003eTable\u0026nbsp;1\u003c/strong\u003e, digital interventions in Rwanda, Ghana, the DRC, Sierra Leone and Tanzania reveal both the potential and limitations of AI- and Blockchain-based governance when participatory design is absent.\u003c/p\u003e\n\u003ch2\u003eSummary Table 1: Case Study Analysis \u0026ndash; Digital Innovations in African ASM Governance\u003c/h2\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003ctable id=\"Taba\" border=\"1\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eCountry / Case\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eTechnology Adopted\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eKey Outcomes\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eLessons for Zimbabwe\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRwanda \u0026ndash; Tantalum Sector\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eBlockchain (Circulor)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eImproved traceability, reduced smuggling, enhanced ethical sourcing compliance\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eZimbabwe can adapt blockchain but must first digitize and formalize ASM production data.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eGhana \u0026ndash; Gold ASM Sector\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eGeo-mapping\u0026thinsp;+\u0026thinsp;Mobile Platforms (Minerals Commission)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eImproved license mapping, reduced land conflicts, better ASM registration\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eZimbabwe should develop user-friendly geo-data tools and public cadastral systems.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDemocratic Republic of Congo (DRC) \u0026ndash; Cobalt Sector\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eBlockchain\u0026thinsp;+\u0026thinsp;Mobile Traceability Apps (e.g. MINEP)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eHelped trace artisanal cobalt flows, but faced elite manipulation and community exclusion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDigital tools must include FPIC and local consent to avoid elite capture.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSierra Leone \u0026ndash; Diamond Governance\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDigital diamond passports\u0026thinsp;+\u0026thinsp;community monitoring apps\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eIncreased legal trade channels, reduced conflict diamond flows\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTech adoption should be backed by strong institutional oversight and community policing.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTanzania \u0026ndash; ASM Gold Formalization\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAI-enabled EIA tools\u0026thinsp;+\u0026thinsp;e-licensing\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFaster permitting, improved environmental tracking, but weak data protection\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eZimbabwe must pair AI with data justice protections and public audit capacity.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ch2\u003eMapping African Case Studies onto the Digital Justice and Inclusive Resource Governance Framework\u003c/h2\u003e\n\u003cp\u003eTo move beyond descriptive comparison, this section analytically maps the Rwanda, Ghana, and Democratic Republic of Congo (DRC) case studies onto the Digital Justice and Inclusive Resource Governance (DJ\u0026ndash;IRG) framework. This framework integrates principles of participation, equity, data sovereignty, and institutional accountability with digital innovation. The mapping assesses each case across four core governance dimensions: participation and co-design, distribution of value and power, data justice and sovereignty, and institutional mediation.\u003c/p\u003e\n\u003ch2\u003eRwanda: High Traceability, Low Participatory Justice\u003c/h2\u003e\n\u003cp\u003eWithin the DJ\u0026ndash;IRG framework, Rwanda\u0026rsquo;s blockchain-based tantalum traceability system performs strongly on institutional mediation but weakly on participatory governance. The Circulor platform is embedded within a relatively strong regulatory environment, enabling effective compliance monitoring and alignment with global responsible sourcing standards. This reflects high performance in the \u003cem\u003einstitutional capacity\u003c/em\u003e pillar of inclusive resource governance. However, from a digital justice perspective, Rwanda\u0026rsquo;s model scores poorly on co-design and local agency. Artisanal miners were largely excluded from system architecture, rule-setting, and data governance, positioning them as data subjects rather than rights-bearing participants. Value captured through traceability accrues primarily to the state and downstream buyers, with limited redistribution toward mining communities. As such, Blockchain in this context functions more as a tool of market access and reputational signalling than as a mechanism of social empowerment. Under the DJ\u0026ndash;IRG framework, Rwanda exemplifies a compliance-driven digital governance model effective for export credibility, but insufficiently transformative for justice-oriented ASM reform.\u003c/p\u003e\n\u003ch2\u003eGhana: Administrative Formalization without Structural Redistribution\u003c/h2\u003e\n\u003cp\u003eGhana\u0026rsquo;s digital gold trading platforms and AI-enabled spatial governance occupy an intermediate position within the DJ\u0026ndash;IRG framework. These initiatives partially advance procedural inclusion by integrating artisanal miners into formal trading systems and reducing dependence on informal intermediaries. AI-driven mapping contributes to improved land-use coordination, reflecting progress in \u003cem\u003einstitutional efficiency\u003c/em\u003e and \u003cem\u003eregulatory visibility\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003eNevertheless, the DJ\u0026ndash;IRG framework highlights critical shortcomings in power redistribution and data agency. Participation is conditional and compliance-oriented; miners must adapt to state-designed digital systems without corresponding gains in tenure security, pricing power, or collective bargaining capacity. AI tools, while useful, remain centralized and technocratic, limiting community involvement in data validation or interpretation. From a digital justice standpoint, Ghana\u0026rsquo;s approach reflects instrumental inclusion miners are incorporated into digital systems, but not empowered to shape them. The framework thus classifies Ghana\u0026rsquo;s model as digitally enhanced formalization, rather than transformative digital governance.\u003c/p\u003e\n\u003ch2\u003eDemocratic Republic of Congo: Surveillance without Social Legitimacy\u003c/h2\u003e\n\u003cp\u003eThe DRC\u0026rsquo;s AI-enabled satellite monitoring initiatives perform strongly on environmental visibility but poorly across nearly all other dimensions of the DJ\u0026ndash;IRG framework. AI tools have enhanced the detection of illegal mining and ecological degradation, demonstrating the technical potential of machine learning for environmental governance.\u003c/p\u003e\n\u003cp\u003eHowever, the absence of robust institutional mediation, coupled with weak enforcement and limited community engagement, undermines both legitimacy and effectiveness. From a digital justice perspective, the DRC case raises acute concerns regarding data sovereignty, consent, and harm. Mining communities are subject to surveillance without participation, protection, or viable livelihood alternatives, reinforcing patterns of coercive governance in a historically extractive political economy. Within the DJ\u0026ndash;IRG framework, the DRC illustrates a technocratic surveillance model high on data extraction, low on justice. This case serves as a cautionary example of how AI, when detached from democratic accountability, can exacerbate exclusion and insecurity.\u003c/p\u003e\n\u003ch2\u003eComparative Synthesis: Lessons for Zimbabwe\u0026rsquo;s ASM Digital Governance\u003c/h2\u003e\n\u003cp\u003eWhen assessed through the DJ\u0026ndash;IRG framework, the three cases reveal a common pattern: digital tools succeed technically where institutions are strong, but fail socially where participation, redistribution, and data justice are absent. None of the cases fully satisfy the framework\u0026rsquo;s criteria for transformative digital governance. Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e illustrates a comparative mapping of digital governance.\u003c/p\u003e\n\u003cp\u003eTable 2 Comparative Mapping of Case Studies\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eFor Zimbabwe, the DJ\u0026ndash;IRG framework offers a pathway to avoid these pitfalls by embedding participation, legal reform, and community data ownership at the core of digital mining initiatives. Rather than adopting blockchain for reputational compliance or AI for surveillance, Zimbabwe can pioneer a justice-centered digital governance model one that treats artisanal miners as co-creators of digital systems and rightful beneficiaries of mineral value chains.\u003c/p\u003e\n\u003ch2\u003eTheoretical Contribution\u003c/h2\u003e\n\u003cp\u003eBy explicitly mapping empirical cases onto the Digital Justice and Inclusive Resource Governance framework, this study advances the literature in two ways. First, it demonstrates that digital transformation in ASM is not a binary success\u0026ndash;failure question, but a spectrum shaped by governance choices. Second, it reframes AI and blockchain as \u003cem\u003epolitical technologies\u003c/em\u003e whose developmental outcomes depend on power, participation, and institutional design. This theoretical integration strengthens the argument that digital governance in Africa must be evaluated not only by efficiency gains, but by its capacity to deliver justice, sovereignty, and inclusive development.\u003c/p\u003e"},{"header":"Findings and Discussion","content":"\u003cp\u003eStakeholders identified significant potential for AI and blockchain to enhance traceability, environmental monitoring, and market access in ASM. These findings are consistent with global extractives literature emphasizing the role of digital tools in supply chain governance (World Bank, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; OECD, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). However, structural barriers including infrastructural deficits, digital illiteracy, policy inconsistency, and mistrust between miners and the state continue to limit adoption (Hilson \u0026amp; McQuilken, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; ZELA, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Community engagement emerged as a decisive factor shaping technology uptake. Initiatives that excluded miners during design phases experienced low legitimacy and resistance, reinforcing critiques that digital systems often reproduce existing power asymmetries (Ribot \u0026amp; Peluso, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Gaventa, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). Institutional readiness remains fragmented, with governance silos and limited regulatory frameworks for digital mining technologies (Government of Zimbabwe, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Ministry of ICT, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e\u003ch2\u003eTechnological Potential Exists but Remains Underutilized\u003c/h2\u003e\u003cp\u003eAcross stakeholder groups, there was broad recognition of the transformative potential of AI and Blockchain for improving traceability, environmental monitoring, mine safety, and market access within the ASM sector. AI applications were perceived as particularly valuable for land-use monitoring, detection of environmental degradation, and early-warning systems for flooding or mine collapses. Blockchain technologies were viewed as mechanisms for enhancing transparency, reducing dependence on informal intermediaries, and facilitating access to formal and ethical mineral markets. Despite this perceived value, empirical findings reveal minimal local experimentation or adoption. The core limitation is therefore not technological feasibility, but the absence of locally adapted deployment models and enabling ecosystems.\u003c/p\u003e\u003ch2\u003ePersistent Structural and Political Barriers\u003c/h2\u003e\u003cp\u003eStructural barriers emerged as a dominant constraint to digital adoption. Interviewees consistently cited poor rural connectivity, high costs of digital devices, unreliable electricity supply, and low levels of digital literacy among artisanal miners. These infrastructural limitations are compounded by deeper political and institutional challenges, including policy incoherence, regulatory uncertainty, and persistent mistrust between mining communities and the state. Several respondents highlighted elite capture of ASM formalization processes, which has marginalized small-scale miners and discouraged engagement with state-led digital initiatives. These findings underscore that digital exclusion in ASM is not merely technical, but embedded within broader political-economic structures.\u003c/p\u003e\u003ch2\u003eCommunity Engagement as a Determinant of Adoption\u003c/h2\u003e\u003cp\u003eA central empirical insight is that meaningful community engagement is critical to the success of digital governance interventions. Stakeholders emphasized that initiatives designed without the participation of artisanal miners tend to face resistance, low uptake, or outright failure. Effective engagement was associated with participatory co-design processes, the use of local languages and culturally appropriate interfaces, and reliance on trusted intermediaries such as mining cooperatives, traditional leadership structures, and civil society organizations. In the absence of such mechanisms, Blockchain platforms were commonly perceived as externally imposed compliance tools, while AI systems were associated with surveillance rather than support. This finding aligns closely with the principles of digital justice, which stress co-creation, trust, and data sovereignty.\u003c/p\u003e\u003ch2\u003eFragmented Institutional Readiness\u003c/h2\u003e\u003cp\u003eInstitutional readiness for digital transformation in ASM was found to be uneven and fragmented. Key state actors including the Ministry of Mines and Mining Development, the Environmental Management Agency (EMA), and law enforcement agencies operate largely in silos, with limited coordination around digital innovation. Zimbabwe currently lacks a national digital mining strategy or a legal framework governing the deployment of AI and Blockchain technologies in extractive sectors. Institutional inertia, limited technical capacity, and risk aversion further constrain experimentation. Nonetheless, emerging initiatives such as the Ministry of ICT’s Smart Zimbabwe agenda and donor-supported data governance programs suggest modest but important entry points for reform.\u003c/p\u003e\u003ch2\u003eSynthesis\u003c/h2\u003e\u003cp\u003eCollectively, these findings indicate that while the integration of AI and Blockchain into Zimbabwe’s ASM sector is both desirable and technically feasible, success will depend on governance transformation rather than technology transfer alone. A justice-oriented, community-anchored digital strategy is required one that aligns legal reform, institutional coordination, and grassroots participation. Without deliberate efforts to bridge the divide between high-tech innovation and lived realities in mining communities, digital tools risk reproducing the very inequalities they are intended to resolve. Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e, summarises the findings from the study.\u003c/p\u003e\u003cp\u003e \u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eFindings and, Discussion – AI and Blockchain in Zimbabwe’s ASM Sector\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eThematic Area\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eKey Findings\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eImplications\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTraceability and Informality\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eASM remains highly informal and poorly documented. Blockchain cannot function without reliable baseline data.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eRisk of excluding informal miners; Blockchain may benefit exporters more than local actors.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAI for Monitoring and Enforcement\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAI tools (e.g. satellite, predictive analytics) are promising but not institutionally integrated.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMissed opportunity for real-time oversight; needs technical capacity and policy alignment.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTechnological Inequity\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePlatforms are controlled by state or private actors; ASM miners lack access and digital literacy.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTechnologies risk reproducing elite control and widening digital exclusion.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eData Justice and Sovereignty\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo legal framework for data protection, ownership, or community consent in digital systems.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eRaises ethical concerns; communities risk becoming subjects of data extraction without benefits.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eReform Potential\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDigital tools could improve licensing, monitoring, and reporting if paired with institutional reform.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePolitical will and inclusive tech governance are critical for success.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e\u003ch2\u003ePolicy Recommendations\u003c/h2\u003e\u003cp\u003eTo enable the inclusive and transformative deployment of Artificial Intelligence (AI) and Blockchain technologies in Zimbabwe’s Artisanal and Small-Scale Mining (ASM) sector, this study advances the following actionable policy recommendations. These proposals are grounded in the empirical findings and informed by principles of inclusive resource governance and digital justice.\u003c/p\u003e\u003ch2\u003eDevelop a National Digital Mining Strategy\u003c/h2\u003e\u003cp\u003eThe Government of Zimbabwe should formulate a comprehensive National Digital Mining Strategy that explicitly governs the ethical deployment of AI and Blockchain in the extractive sector. This strategy should be aligned with the Smart Zimbabwe 2030 agenda and the Africa Mining Vision, while formally recognizing ASM as a priority sector. Crucially, artisanal miners, cooperatives, and civil society organizations should be represented in the strategy’s design and oversight structures to prevent elite capture and ensure policy legitimacy.\u003c/p\u003e\u003ch2\u003eEstablish Community-Based Technology Hubs\u003c/h2\u003e\u003cp\u003ePublic and donor investment should support the establishment of community-based digital technology hubs in major ASM. These hubs would provide internet access, digital literacy training, Blockchain onboarding support, and access to environmental and market information. Co-management by mining cooperatives, local authorities, and non-governmental organizations would enhance trust, sustainability, and local ownership.\u003c/p\u003e\u003ch2\u003eInstitutionalize Participatory Technology Design\u003c/h2\u003e\u003cp\u003eAll digital governance initiatives in ASM should be subject to mandatory participatory co-design processes. Special emphasis should be placed on the inclusion of women, youth, and informal miners who are often excluded from formal decision-making. Platforms should prioritize mobile accessibility, local language interfaces, and human-centered design to ensure usability and broad adoption.\u003c/p\u003e\u003ch2\u003eCreate Legal and Regulatory Enablers for Digital Governance\u003c/h2\u003e\u003cp\u003eZimbabwe should introduce a dedicated legal framework governing the use of AI and Blockchain in mining. Key provisions should address data privacy, data sovereignty, community ownership of mining-related data, and intellectual property rights. Clear regulatory safeguards are essential to prevent surveillance abuse, protect miner rights, and build trust in digital systems.\u003c/p\u003e\u003ch2\u003ePilot Blockchain-Based Certification and Revenue-Sharing Schemes\u003c/h2\u003e\u003cp\u003eThe government, in partnership with development partners, should initiate pilot Blockchain traceability and certification projects in selected ASM districts such as Mazowe or Kadoma. These pilots should integrate smart contracts that enable transparent revenue-sharing mechanisms, including contributions to community development funds and environmental rehabilitation initiatives.\u003c/p\u003e\u003ch3\u003eStrengthen Cross-Sector Institutional Coordination\u003c/h3\u003e\u003cp\u003eAn inter-ministerial coordination body should be established, bringing together the Ministries responsible for Mines, ICT, Environment, Local Government, and relevant civil society actors. This body would oversee policy harmonization, monitor implementation, and reduce institutional fragmentation that currently undermines digital innovation in ASM governance.\u003c/p\u003e\u003ch2\u003ePromote Open-Source and Low-Cost Digital Innovation\u003c/h2\u003e\u003cp\u003eTo ensure affordability and adaptability, Zimbabwe should prioritize open-source, low-cost AI and Blockchain solutions tailored to its infrastructural constraints. Strategic partnerships with local universities, research institutions, and technology incubators can support context-specific innovation while reducing reliance on proprietary foreign platforms. Table\u0026nbsp;4 provides a summary of the policy recommendations for AI and Blockchain in Zimbabwe ASM sector.\u003c/p\u003e\u003ch2\u003eSummary Table\u0026nbsp;4: Policy Recommendations for AI \u0026amp; Blockchain in Zimbabwe’s ASM Sector\u003c/h2\u003e\u003cp\u003e \u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003ctable float=\"No\" id=\"Tabb\" border=\"1\"\u003e\u003ccolgroup cols=\"3\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePolicy Focus\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eRecommendation\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eExpected Outcome\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDigital Mining Strategy\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDevelop a national strategy aligned with Smart Zimbabwe 2030, incorporating ethical AI/blockchain use and ASM representation.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGuides structured, inclusive, and ethical tech adoption.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCommunity Access \u0026amp; Capacity\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eEstablish rural technology hubs for training, internet access, and blockchain onboarding.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEnhances digital inclusion and empowers artisanal miners.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInclusive Design\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eInstitutionalize participatory co-design with miners, using mobile-friendly, locally translated tools.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEnsures usability, local relevance, and wider adoption.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLegal \u0026amp; Regulatory Framework\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eEnact laws on data sovereignty, privacy, IP, and digital governance in mining.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eProtects miners’ data rights and creates a legal foundation for tech use.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePilot Projects\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLaunch blockchain traceability pilots in Mazowe, Kadoma with smart contracts for community funds.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTests viability while channeling benefits directly to local communities.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCross-Sector Governance\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBuild inter-ministerial taskforces to coordinate tech policy implementation across sectors.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eImproves institutional alignment and policy coherence.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInnovation Support\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePromote open-source, low-cost AI/blockchain tools via local universities and incubators.\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFosters affordable, context-relevant innovation tailored to Zimbabwe’s needs.\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e"},{"header":"Conclusion","content":"\u003cp\u003eZimbabwe stands at a critical juncture where digital innovation can either reinforce long-standing inequalities or serve as a catalyst for justice, inclusion, and sustainability within the Artisanal and Small-Scale Mining (ASM) sector. This study has demonstrated that Artificial Intelligence (AI) and Blockchain are not technological panaceas; their developmental value depends fundamentally on the political, legal, and institutional contexts in which they are deployed. The principal constraints to digital transformation in Zimbabwe\u0026rsquo;s ASM sector are therefore not technical in nature, but structural rooted in fragmented governance, regulatory inertia, infrastructural exclusion, and the systematic marginalization of artisanal mining communities.\u003c/p\u003e \u003cp\u003eDrawing on comparative African case studies and stakeholder insights, the article has shown that digital tools can enhance transparency, environmental oversight, and market access when embedded within participatory governance frameworks. Where artisanal miners are involved in co-design processes, where legal safeguards protect data sovereignty, and where institutions coordinate effectively, digital technologies can disrupt exploitative value chains rather than reproduce them. Conversely, technocratic or top-down deployments risk entrenching surveillance, elite capture, and new forms of digital exclusion.\u003c/p\u003e \u003cp\u003eThe central contribution of this study lies in advancing a justice-oriented framework for digital resource governance one that repositions artisanal miners as active co-creators of technological futures rather than passive subjects of regulation. For Zimbabwe, embracing AI and blockchain in ASM governance is not merely a question of modernization or efficiency; it is a fundamentally democratic project concerned with who controls data, who captures value, and whose voices shape mineral governance. The challenge ahead is therefore political as much as technological. A digitally enabled ASM sector grounded in inclusion, accountability, and local empowerment offers a viable pathway toward mineral sovereignty and sustainable development. The future of mining in Zimbabwe will be determined not by technology alone, but by the justice with which it is governed.\u003c/p\u003e "},{"header":"Declarations","content":"\u003cdiv id=\"Sec34\" class=\"Section2\"\u003e\n\u003ch2\u003eData Availability Statement\u003c/h2\u003e\n\u003cp\u003eThe datasets generated during and/or analysed during the current study are not publicly available due to confidentiality agreements with artisanal and small-scale mining participants but are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eConsent to Publish\u0026nbsp;\u003c/h3\u003e\n\u003cp\u003eInformed consent\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eto publish study findings was obtained from all participants. No individual-identifiable data are included in this manuscript.\u003c/p\u003e\u003ch2\u003eConsent to Participate\u003c/h2\u003e\n\u003cp\u003eFreely given, informed consent to participate in the study was obtained from all participants prior to data collection. No participant was below the age of 18 throughout the entire study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Approval\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eand Accordance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEthical approval\u0026nbsp;for this study was obtained from the Zimbabwe Open University Ethics Committee. The study was conducted in accordance with the ethical guidelines and regulations governing research involving human participants, including principles of voluntary participation, informed consent, confidentiality, and protection of participants from harm. These guidelines are contained in the Handbook for Regulations and ZOU House Style 2017.\u003c/p\u003e\n\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\n\u003cp\u003eKevin Tirivanhu Gwatidzo is the author of this research manuscript.\u003c/p\u003e\n\u003ch2\u003eData Availability\u003c/h2\u003e\n\u003cp\u003eThe datasets generated during and/or analysed during the current study are not publicly available due to confidentiality agreements with artisanal and small-scale mining participants but are available from the corresponding author on reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAfrican Union. 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Zimbabwe Environmental Law Association; 2022.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Artisanal mining, Blockchain, Artificial intelligence, Digital governance, Traceability, Inclusive development, Smart contracts, Resource transparency","lastPublishedDoi":"10.21203/rs.3.rs-8554032/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8554032/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eArtisanal and Small-Scale Mining (ASM) is central to Zimbabwe\u0026rsquo;s rural economy, yet it remains characterized by informality, environmental degradation, and exclusion from formal governance and value chains. Amid growing global demand for critical minerals, this study examines how digital technologies specifically Artificial Intelligence (AI) and Blockchain can be leveraged to promote inclusive, transparent, and just resource governance in Zimbabwe\u0026rsquo;s ASM sector. Anchored in a Digital Justice and Inclusive Resource Governance framework, the study adopts a qualitative research design combining semi-structured interviews with miners, civil society actors, and government officials, document analysis, and comparative case studies from Rwanda, Ghana, and the Democratic Republic of Congo. The findings reveal significant digital potential alongside deep structural constraints. Blockchain technologies offer promise for mineral traceability, ethical sourcing, and local value retention, while AI applications can enhance environmental monitoring and mine safety. However, limited infrastructure, digital illiteracy, fragmented institutions, and regulatory inertia constrain adoption. Crucially, evidence shows that digital interventions succeed only when designed through participatory, community-led processes; otherwise, they risk reinforcing surveillance and exclusion. The study recommends a national digital mining strategy, community technology hubs, participatory technology co-design, and targeted Blockchain pilot projects anchored in data sovereignty and miner rights. It contributes a context-sensitive framework that positions digital transformation not as a technocratic fix, but as a democratic project essential to equitable and sustainable mineral governance in Zimbabwe\u0026rsquo;s ASM sector.\u003c/p\u003e","manuscriptTitle":"Digital Justice and Inclusive Resource Governance in Zimbabwean Artisanal and Small-Scale Mining Using AI and Blockchain","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-05 08:25:10","doi":"10.21203/rs.3.rs-8554032/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"ee8d982f-6f6c-41aa-8127-9857cb31d4c6","owner":[],"postedDate":"February 5th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-05-06T08:27:15+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-05 08:25:10","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8554032","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8554032","identity":"rs-8554032","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}