How AI Inference Threats Might Influence the Outcome of 2020 Election (Session Viewing Point)

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What we have learned from the US 2016 election interfered by Russian. This session will inspect the inference threats on how elections in the international community interfered by inference threats. The session will also analyze the patterns of disinformation and misinformation used in the past elections and how artificial intelligence might be applied to influence the outcome of the 2020 election.

Pre-Requisites: Understanding of Data Privacy Engineering concepts and general information technology background interested in inference threats.
Karel Baloun


Software Architect and Entrepreneur, UC Berkeley

Ken Chang


Cybersecurity Researcher, University of California - Berkeley

Matthew Holmes


Cybersecurity Student, UC Berkeley

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