The governance of the challenge is facilitated and overseen by the Partnership on AI’s Steering Committee on AI and Media Integrity, which is made up of a broad cross-sector coalition of organizations including AWS, BBC, CBC, Facebook, First Draft, Microsoft, New York Times, WITNESS, and XPrize. The representation across sectors allows for a range of viewpoints and collaboration to address the needs of society more broadly.
Academic Advisory Panel
We want to catalyze more research and development in the area of deepfake detection and ensure that there are better open source tools to detect deepfakes. That’s why we have engaged with faculty researchers from Cornell Tech, MIT, Technical University of Munich, UC Berkeley, University at Albany-SUNY, University of Maryland, University of Naples Federico II, and University of Oxford.
Serge Belongie, Associate Dean and Professor, Cornell Tech
Rama Chellappa, Distinguished University Professor and Minta Martin Professor of Engineering, University of Maryland
Hany Farid, Professor in the Department of Electrical Engineering & Computer Science and the School of Information, UC Berkeley
Phillip Isola, Bonnie & Marty (1964) Tenenbaum CD Assistant Professor of Electrical Engineering & Computer Science, MIT
Prof. Dr. Laura Leal-Taixé, Dynamic Vision and Learning Group, Technical University of Munich
Siwei Lyu, College of Engineering and Applied Sciences, University at Albany-SUNY
Philip H. S. Torr, Department of Engineering Science, University of Oxford
Antonio Torralba, Professor of Electrical Engineering & Computer Science and Director of the MIT Quest for Intelligence
Professor Luisa Verdoliva, Department of Industrial Engineering at the University of Naples Federico II