Workshop on Fairness Accountability Transparency and Ethics

in Computer Vision at CVPR 2019

Invited Speakers

Cewu Lu is a Professor at Shanghai Jiao Tong University (SJTU). Before he joined SJTU, he was a postdoc research fellow at Stanford University working under Prof. Fei-Fei Li and Prof. Leonidas J. Guibas. He was a postdoc research fellow at Hong Kong University of Science and Technology with Prof. Chi Keung Tang. He got the his PhD degree from The Chinese Univeristy of Hong Kong, supervised by Prof. Jiaya Jia. In 2018, Prof. Lu Cewu is selected as MIT TR35 - "MIT Technology Review, 35 Innovators Under 35 (China). His research interests fall mainly in Computer Vision, deep learning and robotics vision.

Deborah Raji has recently graduated from the Engineering Science program at the University of Toronto, majoring in Robotics. She has worked as a Machine Learning Engineering intern at Clarifai, and later became involved in AI research, working closely with Joy Buolamwini of the MIT Media Lab on several projects to highlight cases of bias in computer vision. Her work has been featured in the New York Times, Washington Post, The Verge, Venture Beats, National Post, EnGadget, Toronto Star and won the Best Student Paper Award at the ACM/AAAI Conference for AI Ethics & Society.

Kate Saenko is an Associate Professor at the Department of Computer Science at Boston University, and the director of the Computer Vision and Learning Group and member of the IVC Group. She received her PhD from MIT. Previously, she was an Assistant Professor at the Department of Computer Science at UMass Lowell, a Postdoctoral Researcher at the International Computer Science Institute, a Visiting Scholar at UC Berkeley EECS and a Visiting Postdoctoral Fellow in the School of Engineering and Applied Science at Harvard University.

Laura Moy is the Executive Director of Georgetown Law’s Center on Privacy & Technology. She has written, spoken, and advocated before federal agencies and Congress on a broad range of technology policy issues, including law enforcement surveillance, consumer privacy, security research, device portability, copyright, and net neutrality. Her current work focuses on policy issues at the intersection of privacy and the criminal legal system. Before joining the Center, Laura was Acting Director of the Communications & Technology Clinic at Georgetown Law’s Institute for Public Representation. Prior to that, she worked at New America’s Open Technology Institute and Public Knowledge. Laura completed her J.D. at NYU School of Law and her LL.M. at Georgetown. Before law school, Laura analyzed cell site location information for the Manhattan District Attorney’s Office. You can follow her on Twitter at @lauramoy.

Morgan Klaus Scheuerman is an Information Science PhD student at University of Colorado Boulder interested in the ways human identity intersects with algorithmic infrastructures. His primary research explores how diverse genders are represented in gender classification for computer vision systems. His initial thesis work focused on the safety concerns trans, including non-binary, individuals have about facial analysis technology that used automated gender classifications. His current work examines both the underlying infrastructures of facial analysis systems, and the decision-making pipeline that goes into these systems and image training datasets.