AI in the Public Sphere

A research seminar on technology-politics dynamics, political preference formation, and AI in academic research and teaching.

Session 1 : How technology impacts politics (and vice-versa) / 9:00-12:30

• AI‑Generated Political Content & Voter Responses - Sanne Kruikemeier (Wageningen University)
• The Effects of TikTok “Edits” on Evaluations of Politicians - Kevin Munger (EUI)
• Human-AI co-evolution - Janos Kertész (Central European University)
• Round table: Platforms, algorithms, and new influence campaigns- Jonne Kamphorst (CDSP, Sciences Po), Vlad Bujdei-Tebeica (SNSPA), Sanne Kruikemeier, Paul-Antoine Chevalier (Tech-Ops Bureau, Viginum)

Session 2 : When political preferences get learned / 13:30 – 16:00

• What Is The Political Content in LLMs? - Tanise Ceron (Bocconi University)
• From Sense to Reference: Personal Identity in Large Language Models - Paul Bouchaud (CNRS-Sciences Po)
• Individualizing a systemic problem: The effectiveness of transparency as a tool to manage risks from AI - Stephan Lewandowsky (University of Bristol)
• Results from EPO: How do algorithmic recommenders learn and leverage political opinions? - Pedro Ramaciotti (CNRS-Sciences Po)
• Round table: Regulating algorithms: mandates and practices - Fabien Tarissan (CNIL), Stephan Lewandowsky, Erik Wetter (Stockholm School of Economics), Artur Bogucki (Warsaw School of Economics), Tanise Ceron

Session 3 : ​​Teaching and researching with AI / 16:30 – 18:00

• Forming computational social scientists in the era of generative-AI - Jon Cardoso-Silva (London School of Economics)
• Scenarios for academic publishing in the age of AI - Kevin Munger (EUI)
• Round table: ​​Teaching and researching with AI - Kevin Munger, Korhan Koçak (IE University), Jon Cardoso-Silva, Ethan Zuckerman (University of Massachusetts, Amherst)