person
Edward Felten
Princeton emeritus; ex-FTC Chief Technologist
Princeton University Robert E. Kahn Professor of Computer Science Emeritus; founding director of the Center for Information Technology Policy. Twice served the U.S. government, as deputy U.S. CTO and as FTC Chief Technologist.
Profile
expertise
Deep technical
Sustained peer-reviewed contribution to ML, alignment, interpretability, or safety techniques. Could review a frontier paper.
Princeton CS professor emeritus. Long publication record on security, privacy, and tech policy. Twice in US government (Deputy CTO, FTC Chief Technologist).
recognition
Field-leading
Widely known inside the AI and AI-safety community. Appears repeatedly in top venues, podcasts, or governance forums. Not a household name to outsiders.
Recognised in tech-policy and CS circles. Less mainstream press.
vintage
Pre-deep-learning
Active before AlexNet. The existential-risk frame matures (FHI, OpenPhil, EA). Public AI commentary still rare; deep learning not yet dominant.
Princeton from 1993. Tech-policy work spans 2000s. Pre-deep-learning frame.
Hand-classified. See the board for the criteria and the full grid.
Strategy positions
Governance firstendorses
Lead with regulation, treaties, liability regimesArgues AI policy should be built on technical literacy in government; technologists need to be inside agencies to make policy implementable rather than performative. Frames AI governance as a continuity of decades of computer-and-society policy work.
Good tech policy requires technologists in government, not just outside advisors. The detail of what AI systems actually do is where policy succeeds or fails.
AI governance is not a new field. It is a continuation of decades of computer-and-society policy work.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Edward Felten's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-25.