Claim · 2022-08-30 · publication · Stated in source · Supported

Richard Ngo is a credited author of The Alignment Problem from a Deep Learning Perspective.

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

Richard Ngo → authored → The Alignment Problem from a Deep Learning Perspective

Where it appears

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

Claim and evidence

Richard Ngoauthored ↓The Alignment Problem from a Deep Learning Perspective

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2022-08-30 · 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

The Alignment Problem from a Deep Learning Perspective

arXiv · 2022-08-30

Cite the original source

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

Source excerpt

“Richard Ngo”

Location in source PDF p. 1, byline

Machine-checked · 2026-10-31

Source details and check notes

Authors: Richard Ngo
Version: arXiv:2209.00626v1, submitted 30 August 2022 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 9503e506974e64d75506c4c0177779f217f1662b905aaa603bf35cb26bbb9192). The author list is the byline as printed on the first page.
Version date: 2022-08-30
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: Richard Ngo, “The Alignment Problem from a Deep Learning Perspective”, 2022-08-30.
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. 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 30 August 2022 (UTC).

Record ID kp-authored-richard-ngo-alignment-problem-from-deep-learning-2022