Aligning recommender systems with Jonathan Stray (Talk)

Jonathan Stray is a Visiting Scholar at the Berkeley Center for Human-Compatible AI (CHAI), working on recommender systems — the algorithms that select and rank content across social media, news apps and online shopping — and how their operation affects well-being, polarization, and other things.

His recent research focuses on how to align AI optimization with community well-being and how to design recommender systems to reduce polarization.