person

Jonathan Stray
Berkeley CHAI; AI in journalism and recommender systems
Senior Scientist at the Center for Human-Compatible AI at UC Berkeley; previously editor at the AP and a builder of AI tools for newsrooms. Researches recommender systems and journalism applications of AI.
current Senior Scientist, UC Berkeley CHAI
Strategy positions
Near-term harms firstendorses
Documented present harms outweigh speculative existential narrativesArgues recommender-system harms are a primary AI safety question; deployed engagement-maximizing recommenders may already be the highest-impact AI in the world.
Recommender systems are the largest deployed AI systems in the world. If we get them wrong, we are getting AI safety wrong at scale already, before any AGI shows up.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Jonathan Stray's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-25.