Development of Autonomous Vehicles: Gender observation and public attitude toward autonomous vehicles

Abstract — This study investigated business transformation on Autonomous Vehicles (AV) over time, respondents' opinion, trust, and attitude toward AV and Artificial Intelligence (AI). The research identified demographic differences and vehicle crash data by industry, primarily focusing on gender and driving license ownership. The research paper included 60% of men over 40% of women out of 259 responses. Results: showed that autonomous safety is improving - cars with Full Self-Driving (FSD) throughout 2020 up to Q3 2025, on average, 5.51 times safest against 1.33 vehicles without such technology. Survey responses revealed clear gender diversity. Roughly 2/3 show that men have encountered AV, while the female side shows opposite results in 1/3 female respondents. Men are more likely to trust in AI efficiency and accept AV supremacy over human factors in logistics and other areas. Women are more skeptical and show that they are more likely to change human labor over automation. Both groups were found to be highly concerned about AV cybersecurity, though male support was notably stronger. Respondents without a driver's license are much more optimistic that AVs will make better future driving decisions than humans on the road, while license owners expressed greater uncertainty and less positive responses on replacing human labor within city delivery. Respondents overwhelmingly prioritized improving AI over CPU, LiDAR, and other improvements. Overall responses with both sides showed that they are thinking positively toward AI and AV technology, to the idea of blocking system when there's an attempt to be hacked or breached into, nonetheless, 3/4 of all respondents agreed to use the AV technology is necessary to have a driving license, which wasn't highlighted in the paper.