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Science at Cal – Detecting Disinformation and Deep Fakes
August 13, 11:00 am – 12:15 pm PDT
Speaker: Dr. Hany Farid, Professor, Dept. of Electrical Engineering & Computer Sciences & School of Information
We are awash in disinformation consisting of lies, conspiracies, and general nonsense, all with real-world implications ranging from human-rights violations to threats to our democracy and global public health. Adding to this disinformation landscape is a new form of manipulated media—so-called “deep fakes.” Although varied in their form and creation, deep fakes refer to text, image, audio, or video that has been automatically created by a machine-learning system. Deep fakes add to a long line of techniques used to manipulate reality, but their introduction poses new risks. Now, more people have access to technology that would have historically been restricted to Hollywood, and they can put it to use for nefarious purposes. In this lecture, Dr. Hany Farid will discuss the online disinformation landscape and what interventions are available. He will also provide an overview of how deep fakes are created, how they are being used and misused, and if and how they can be distinguished from reality.
This is an in-person event. In order to maintain capacity limits, registration will be required using the Eventbrite link (below). Please bring a copy of your Eventbrite ticket to the event, either on your mobile device or printed out.
We remind you that wearing a mask indoors is strongly recommended by the campus and the city public health officer. Please see UC Berkeley’s current mask guidance here.
About our speaker:
Hany Farid is a Professor at the University of California, Berkeley with a joint appointment in Electrical Engineering & Computer Sciences and the School of Information. His research focuses on digital forensics, forensic science, misinformation, image analysis, and human perception. He received his undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989, and his Ph.D. in Computer Science from the University of Pennsylvania in 1997. Following a two-year post-doctoral fellowship in Brain and Cognitive Sciences at MIT, he joined the faculty at Dartmouth College in 1999 where he remained until 2019. He is the recipient of an Alfred P. Sloan Fellowship, a John Simon Guggenheim Fellowship, and is a Fellow of the National Academy of Inventors.