Generative Artificial Intelligence and the Future of Social Science

A Campbell Institute and Policy Agendas Project lecture: “Generative Artificial Intelligence and the Future of Social Science - Reshaping Knowledge: How AI is Transforming Social Science Research.”

How are large language models revolutionizing knowledge construction in the social sciences? What new possibilities—and potential pitfalls—do these technologies present for researchers and educators? How can we responsibly integrate AI into social science research to enhance our understanding of the world while upholding the core principles of academic integrity?

Join us for a thought-provoking discussion with a pioneering international scholar who developed a no-code LLM platform for studying international politics across twenty languages.

Presentation Highlights:

• The evolution of AI applications in social science research
• Transformative impacts of large language models on data generation and analysis
• An introduction to “The Babel Machine,” Dr. Sebők's multilingual LLM platform
• Future trajectories for AI-augmented academic research

Miklós Sebők is director of poltextLAB Artificial Intelligence Laboratory and co-director of the Artificial Intelligence National Lab at the Centre for Social Sciences (CSS) in Budapest, Hungary. Sebők is a renowned expert in AI-powered qualitative text analysis, Hungarian politics and public policy. His groundbreaking work bridges technological innovation and social science methodology.

This event is co-sponsored by the Moynihan Institute of Global Affairs and the Autonomous Systems Policy Institute.