What you will learn:

The past few years have seen a startling and troubling rise in online disinformation in which everyone from individuals to nation-sponsored entities can produce and globally spread dangerous and deadly disinformation. The implications of disinformation range from a mis-informed public to an existential threat to democracy, and horrific violence around the globe. At the same time, recent and rapid advances in AI are making it easier than ever to create sophisticated and compelling fake images, videos, and audio recordings (so called deep fakes), making the disinformation campaigns even more powerful and dangerous. In this Elective we will discuss the overall landscape of online disinformation, how the newly emerging threat of deep fakes will impact this landscape, and how emerging technologies can disrupt these trends with the goal of returning some trust and sanity to our online communities.

About the instructor:

I am a Professor at the University of California, Berkeley with a joint appointment in Electrical Engineering & Computer Sciences and the School of Information. My research focuses on digital forensics, forensic science, misinformation, image analysis, and human perception. I received my undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989, my M.S. in Computer Science from SUNY Albany in 1992, and my 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, I joined the faculty at Dartmouth College in 1999 where I remained until 2019. I am the recipient of an Alfred P. Sloan Fellowship, a John Simon Guggenheim Fellowship, and am a Fellow of the National Academy of Inventors.
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Suggested Length:90 min(Flexible)
# of Employees: Flexible
Delivery: Live via Zoom
Available Formats:
  • Keynote Followed by Q&A
  • Lecture with Discussion
  • Interactive Workshop

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