Cybernetics 3.0: Addressing Grand Challenges in Human-Machine Interaction and Decision-Making

This paper examines the framework of Cybernetics 3.0 as a way of addressing grand challenges related to human-machine interaction in complex systems. The paper explores the evolution of Cybernetics and highlights the limitations of the earlier versions. The current approach to Cybernetics, Cybernetics 3.0, focuses upon human agency and the co-evolution of humans and machines in the decision-making space. The paper argues that this approach when combined with Web 3.0 technologies gives new ways to optimise decision-making by integrating human capabilities and ethical considerations with machine capabilities. The paper uses causal loop diagrams to demonstrate the factors leading to interconnectedness between human and machine decision-making. A practical example from the field of healthcare illustrates the interconnections and demonstrates the utility of this framework for more sustainable and wise decisions. A holistic systems thinking approach in addressing grand challenges such as these could promote human flourishing, and the discipline of Cybernetics is a promising way to better understand the interaction and its potential, through its focus on systems of control, human AI learning and communication, feedback loops, self-regulating systems, and knowledge enhancement in humans and machines.