Love Machines: The Science of AI Companionship

Date TBA

Generative AI fuel human creativity, commerce, and everyday chores—but they also power technologies that satisfy our fundamental need to connect. AI companions (LLM-driven social machines with memory and customizability) are challenging ideas about what counts as real intimacy. In this session, scholars from the U.S., Germany, and Canada will explore the scientific record and philosophical debates surrounding these AI: How we see “someone” in the machine, how shallow and deep connections evolve, and the possibilities and perils of their use and commercialization.

Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

photo of Jaime Banks

Jaime Banks

Syracuse University School of Information Studies

photo of Nicholas Bowman

Nicholas Bowman

Syracuse University, S.I. Newhouse School of Public Communications

photo of Neil McArthur

Neil McArthur

University of Manitoba

photo of Jessica Szczuka

Jessica Szczuka

University of Duisburg-Essen

Primary Access
Platinum Badge
Interactive Badge
Secondary Access
Music Badge
Film & TV Badge