Challenges and Safeguards against AI-Generated Disinformation

Distinguishing between human- and AI-generated content is already an important enough problem in multiple domains ??" from social media moderation to education ??" that there is a quickly growing body of empirical research on AI detection and an equally quickly growing industry of its non/commercial applications. But will current tools survive the next generation of LLMs, including open models and those focused specifically on bypassing detection? What about the generation after that? Cutting-edge research, as well as presentations from leading industry professionals, in this series will clarify the limits of detection in the medium- and long-term and help identify the optimal points and types of policy intervention. This series is organized by Sergey Sanovich.

Speaker: Nicholas Tomlin, UC Berkeley

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