
The episode discusses the implications of AI clones and creative ownership in the context of game theory and economics.
In this episode, we explore how game theory and economics can inform the use of AI. Our guest, Annie Liang, introduces the concept of AI clones, systems designed to imitate specific humans, and discusses their potential applications, for example in recruiting. We examine the trade-off between the efficiency gains the clones can provide and the costs that arise when AI cannot perfectly create such clones without error. The conversation then turns to creative ownership, focusing not only on content but also on the ownership of creative style as AI becomes increasingly capable of reproducing it. Finally, we discuss how insights from information design can contribute to the broader debate on AI. Annie Liang is an associate professor of economics and (by courtesy) of computer science at Northwestern University.
Guest: Annie Liang
Organizations: Northwestern University
Explore listener stats, chart rankings, contacts and more on the Game Changer - the game theory podcast podcast page.