Facial Recognition Technology, Measurement & Regulation Workshop
Faculty Leaders: Dan Ho, Maneesh Agrawal, and Fei-Fei Li
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.
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.
Sequoia Professor of Computer Science, Stanford University
William Benjamin Scott and Luna M. Scott Professor of Law, Professor of Political Science, Senior Fellow at the Stanford Institute for Economic Policy Research, Director of the Regulation, Evaluation, and Governance Lab (RegLab)