AI-driven facial recognition technologies (FRTs) are rapidly proliferating across domains once thought distinct—public security, digital governance, and increasingly, health and medicine. As facial classification becomes a tool for both surveillance and diagnosis, we face urgent ethical questions: Who is visible and on what terms? What forms of consent, care, or control are made possible or foreclosed? How do we ensure public trust and accountability in technologies that encode bias and social hierarchies?
The originality of this project lies in its cross-pollination of empirical ethics and critical social science to address AI’s sociotechnical entanglements. Rather than treating ethics as an external check on technology, this approach foregrounds ethics as co-produced with technical design, social imaginaries, and institutional power. Its impact potential spans multiple arenas: enhancing public participation in AI governance; shaping debates on AI in health; informing inclusive regulatory frameworks; and contributing to the emerging field of AI ethics with grounded, cross-national perspectives.

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