person
Buck Shlegeris
CEO of Redwood Research; 'AI Control' research lead
Researcher behind the 'AI control' research agenda: designing protocols that remain safe even if the AI being supervised is scheming. Frames safety as a defence problem that can be solved by cheaper means than alignment proper.
Profile
expertise
Deep technical
Sustained peer-reviewed contribution to ML, alignment, interpretability, or safety techniques. Could review a frontier paper.
CEO of Redwood Research. Active publisher on AI control, scheming, scalable oversight.
recognition
Established
Reliable, recognised voice within their specific subfield. Cited and invited but not central to general AI discourse.
Recognised inside the alignment community.
vintage
Scaling era
Worldview formed during GPT-2/3, scaling laws, Anthropic's founding. Pre-ChatGPT but post-deep-learning. The 'scale is all you need' debate is live.
MIRI early 2010s; Redwood Research founded 2021. AI control work matures in scaling era.
Hand-classified. See the board for the criteria and the full grid.
Strategy positions
Alignment firstmixed
Solve technical alignment before capability thresholds closeAdvocates 'AI control', protocol-level safety assuming the worst about model intentions, as a complement to direct alignment.
We should design AI deployment protocols that remain safe even if our AIs are trying to subvert them.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Buck Shlegeris's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-24.