Love Machines: The Science of AI Companionship
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.
Jaime Banks
Syracuse University School of Information Studies
Nicholas Bowman
Syracuse University, S.I. Newhouse School of Public Communications
Neil McArthur
University of Manitoba
Jessica Szczuka
University of Duisburg-Essen