Claim · 2023-01 · publication · Stated in source · Supported

The document states that, as directed by the National Artificial Intelligence Initiative Act of 2020, the AI RMF aims to offer organisations that design, develop, deploy or use AI systems a resource to help manage the risks of AI.

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

Artificial Intelligence Risk Management Framework (AI RMF 1.0) → states its contribution → The document states that, as directed by the National Artificial Intelligence Initiative Act of 2020, the AI RMF aims to offer organisations that design, develop, deploy or use AI systems a resource to help manage the risks of AI.

Where it appears

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

Claim and evidence

Artificial Intelligence Risk Management Framework (AI RMF 1.0)states its contribution ↓The document states that, as directed by the National Artificial Intelligence Initiative Act of 2020, the AI RMF aims to offer organisations that design, develop, deploy or use AI systems a resource to help manage the risks of AI.

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2023-01 · publication Records dated 2023 →

Scope and limitsThe paper's own description of its contribution; not an assessment of it.

The evidence 01

primary sourceSupports the claim

Artificial Intelligence Risk Management Framework (AI RMF 1.0)

National Institute of Standards and Technology · 2023-01

Cite the original source

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

Source excerpt

“As directed by the National Artificial Intelligence Initiative Act of 2020 (P.L. 116-283), the goal of the AI RMF is to offer a resource to the organizations designing, developing, deploying, or using AI systems to help manage the many risks of AI …”

Location in source PDF p. 7 (printed p. 2), Executive Summary

Machine-checked · 2026-10-31

Source details and check notes

Authors: National Institute of Standards and Technology
Version: NIST AI 100-1; the title page prints “January 2023”. Retrieved for the candidate pack on 2026-10-28 (SHA-256 7576edb531d9848825814ee88e28b1795d3a84b435b4b797d3670eafdc4a89f1).
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: National Institute of Standards and Technology, “Artificial Intelligence Risk Management Framework (AI RMF 1.0)”, 2023-01.
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 quotation (42 words) matched the text retrieved for the candidate pack on 2026-10-28 (research/key-papers/verification.json). Matching ignored differences of whitespace, case, quotation marks, dashes and line-break hyphens, so the source’s typography can differ. 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. A paper or other publication describes its own contribution, quoted from the expression the record names, usually its abstract or introduction. The record is the document’s own description, not an assessment: a claim of priority or novelty it contains is the document’s claim, flagged as such, and says nothing about earlier or later work.

Date. Date of the version quoted, as its source gives it (January 2023); other versions may word it differently.

Record ID kp-states-ai-risk-management-framework-2023-1