Claim · 2022-12-15 · publication · Stated in source · Supported

Tom Henighan is a credited author of Constitutional AI: Harmlessness from AI Feedback.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Tom Henighan → authored → Constitutional AI: Harmlessness from AI Feedback

Where it appears

No collection page holds this claim. It is listed with its records in the explorer.

Claim and evidence

Tom Henighanauthored ↓Constitutional AI: Harmlessness from AI Feedback

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2022-12-15 · publication Records dated 2022 →

Scope and limitsAuthorship as credited in the byline of the text read; it implies neither sole authorship nor a role, and no affiliation is recorded.

The evidence 01

primary sourceSupports the claim

Constitutional AI: Harmlessness from AI Feedback

arXiv · 2022-12-15

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“Tom Henighan”

Location in source PDF p. 1, byline

Machine-checked · 2026-10-31

Source details and check notes

Authors: Yuntao Bai; Saurav Kadavath; Sandipan Kundu; Amanda Askell; Jackson Kernion; Andy Jones; Anna Chen; Anna Goldie; Azalia Mirhoseini; Cameron McKinnon; Carol Chen; Catherine Olsson; Christopher Olah; Danny Hernandez; Dawn Drain; Deep Ganguli; Dustin Li; Eli Tran-Johnson; Ethan Perez; Jamie Kerr; Jared Mueller; Jeffrey Ladish; Joshua Landau; Kamal Ndousse; Kamile Lukosuite; Liane Lovitt; Michael Sellitto; Nelson Elhage; Nicholas Schiefer; Noemi Mercado; Nova DasSarma; Robert Lasenby; Robin Larson; Sam Ringer; Scott Johnston; Shauna Kravec; Sheer El Showk; Stanislav Fort; Tamera Lanham; Timothy Telleen-Lawton; Tom Conerly; Tom Henighan; Tristan Hume; Samuel R. Bowman; Zac Hatfield-Dodds; Ben Mann; Dario Amodei; Nicholas Joseph; Sam McCandlish; Tom Brown; Jared Kaplan
Version: arXiv:2212.08073v1, submitted 15 December 2022 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 9a456a07ad346e3372f9867d346f69f5b0f68b4c65f060aca0b8a13fa9d98e83). The author list is the byline as printed on the first page.
Version date: 2022-12-15
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: Yuntao Bai and others, “Constitutional AI: Harmlessness from AI Feedback”, 2022-12-15.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, key papers (research/key-papers). The printed name (2 words) was found in the byline of the text retrieved for the candidate pack on 2026-10-28. A cross-family machine check (2026-10-30, item A063) transcribed the printed name from the byline blind. A cross-family machine check (2026-10-30, item A087) transcribed the byline blind. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. Authorship as credited in the document. Does not imply sole authorship.

Date. Date of the work’s earliest recorded version, arXiv version 1, submitted 15 December 2022 (UTC).

Record ID kp-authored-tom-henighan-constitutional-ai-harmlessness-from-ai-2022