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Costs and Bias in Facial Recognition Technologies
Session Chair: Dimitris Samaras
Bias in facial recognition systems has been well documented and widely reported in the news for years now, as is the broader discussion of risks and responsibilities of AI systems in general, legislative actions, and legal challenges. We will review the current landscape and some proposed initiatives, frameworks, and bans, and consider options for humans and algorithms collaborating to provide real societal value without ignoring critical costs and risks.
Matthew Turk is the President of the Toyota Technological Institute at Chicago (TTIC) and an emeritus professor of Computer Science at the University of California, Santa Barbara. He received a B.S. from Virginia Tech, an M.S. from Carnegie Mellon University, and a Ph.D. from the Massachusetts Institute of Technology. He has worked at Martin Marietta Aerospace, LIFIA/ENSIMAG (Grenoble, France), Teleos Research, and Microsoft Research, where he was a founder of the Vision Technology Group. He has served as General or Program Chair of several major conferences, including ACM Multimedia, FG, ICMI, CVPR, and WACV. He co-founded an augmented reality startup company in 2014 that was acquired by PTC Vuforia in 2016. Dr. Turk has received several best paper awards, and he is an ACM Fellow, an IEEE Fellow, an IAPR Fellow, an APAI Fellow, and the recipient of the 2011-2012 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies. He currently serves on the Computing Research Association’s Computing Community Consortium (CCC) council.