Uncontrollable AI Risks

Ekaterina (Kat) Filadova from MIT EECS joins us to discuss strategic learning in recommender systems—what happens when users collectively coordinate to game recommendation algorithms. Kat's research reveals surprising findings: algorithmic "protest movements" can paradoxically he ...  Show more

Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized recommenders improve utility for niche users while raising questions abo ...  Show more

In this episode, we delve into the intersection of artificial intelligence and policy with Ellie Graeden from Luminos Law, exploring the legal and regulatory frameworks shaping the AI landscape and their implications for businesses and society. Join us as we discuss the challenge ...  Show more

Will AI ever start to think by itself? If it did, how would we know, and what would it mean?In this episode, Dr. Anil Seth and Aza discuss the science, ethics, and incentives of artificial consciousness. Seth is Professor of Cognitive and Computational Neuroscience at the Univers ...  Show more

Sam Harris speaks with Stuart Russell and Gary Marcus about recent developments in artificial intelligence and the long-term risks of producing artificial general intelligence (AGI). They discuss the limitations of Deep Learning, the surprising power of narrow AI, Ch ...

It feels like all anyone wants to talk about these days is how AI is taking over. Well, we thought it time to have an expert on to break it all down. In this episode Rick speaks with AI expert Daniel Faggella in a comprehensive discussion on the evolving landscape of artificial i ...  Show more