Join the Tech Impact and Policy Center on April 21st from 12PM–1PM Pacific for a seminar with Jonathan Stray.

Stanford affiliates are invited to join us at 11:40 AM for lunch, prior to the seminar.  The Spring Seminar Series continues through May; see our Spring Seminar Series page for speakers and topics. Sign up for our newsletter for announcements. 

About the Seminar:

There has been much discussion of how AI can help humans cooperate, but much less about what happens when you add AI to humans who disagree -- potentially violently. Social media systems, which are increasingly AI driven, may amplify divisive or escalatory narratives. LLMs may similarly exacerbate conflict, especially if they give different answers to people on different sides. I'll present recent work testing alternative social media algorithms with real users on real platforms in an attempt to reduce polarization around the 2024 election, and using LLMs to produce "politically neutral" answers on maximally controversial topics. These early experiments give us a glimpse into the turbulent future of AI-mediated conflict.
 

About the Speaker:

Jonathan Stray is a Senior Scientist at the Center for Human-compatible AI at UC Berkeley, where he works on the design of AI-driven media with a particular interest in well-being and conflict. Previously, he taught the dual masters degree in computer science and journalism at Columbia University, worked as an editor at the Associated Press, and built document mining software for investigative journalism.