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The workshop convened leading academics, computer vision experts, and representatives from civil society, government, and industry to discuss critical questions and develop a whitepaper that makes recommendations related to assessing the performance of facial recognition technology.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Core questions included: What needs to be improved about how we benchmark facial recognition technology tools? How do we close the gap between testing algorithms in the lab and testing products in real world conditions? How do we improve and ground our understanding of this rapidly changing space? What are current best practices? How do we develop them further? What is needed in order to develop consensus standards for this important technology?
This event was by invitation only.
