Claim · 2024-01-25 · publication · Stated in source · Supported

RAND published 'The Operational Risks of AI in Large-Scale Biological Attacks: Results of a Red-Team Study' (RR-A2977-2) on 25 January 2024.

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

RAND Corporation → published → The Operational Risks of AI in Large-Scale Biological Attacks: Results of a Red-Team Study

Where it appears

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

Claim and evidence

RAND Corporationpublished ↓The Operational Risks of AI in Large-Scale Biological Attacks: Results of a Red-Team Study

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 2 sources

Object version: Research report RR-A2977-2, published 25 January 2024 · Published 2024-01-25 · Effective date not established
Date: 2024-01-25 · publication

Scope and limitsPublication of the report is the record. An earlier RAND document of October 2023 described the study's approach; it was not retrieved here.

The evidence 02

primary sourceSupports the claim

RAND publication page for RR-A2977-2 (publication date)

RAND Corporation · Publication date unknown

Cite the original source

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

Source excerpt

“Published Jan 25, 2024”

Location in source Publication page header for RR-A2977-2

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-30

Source details and check notes

Authors: RAND Corporation
Version: Retrieved for the candidate pack on 2026-10-28 (SHA-256 88627299fdd2be1a0fb8bc57ca2d13f19dc6b905216e17105a4fc0eaf81440e0). Publication page as served on 2026-10-28, used only for the stated publication date. Retrieved again at admission on 2026-10-30 (SHA-256 8db1fd8fbf0014fc4ede6a59e10c64ef7b8f749e4f0fbb3ef6520a8cea342cae). Its wording can change; earlier wording is not authenticated.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: RAND Corporation, “RAND publication page for RR-A2977-2 (publication date)”.
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, AI and biosecurity (research/ai-bio). The quotation (4 words) matched the text retrieved for the candidate pack on 2026-10-28 and again at admission on 2026-10-30, in a fresh retrieval (SHA-256 8db1fd8fbf0014fc4ede6a59e10c64ef7b8f749e4f0fbb3ef6520a8cea342cae; the bytes differ from the pack’s retrieval). Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. The page also names the three authors and gives the document number. A cross-family machine check (2026-10-30, item 15) answered the record’s question blind from fresh retrievals and agreed with the record. No human editorial review.

primary sourceSupports the claim

The Operational Risks of AI in Large-Scale Biological Attacks: Results of a Red-Team Study (RR-A2977-2)

RAND Corporation · Publication date unknown

Cite the original source

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

Paraphrase

The report is titled 'The Operational Risks of AI in Large-Scale Biological Attacks: Results of a Red-Team Study', is credited to Christopher A. Mouton, Caleb Lucas and Ella Guest, and carries a 2024 RAND Corporation copyright line and the number RR-A2977-2.

Location in source PDF p. 1, title block, and p. 24, copyright block

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-30

Source details and check notes

Authors: RAND Corporation
Version: Retrieved for the candidate pack on 2026-10-28 (SHA-256 e09a4103027b4f3c9bd3f8d7e1b7f427fea66f4d636f67c5a254a5f88af9438e). Published PDF of RR-A2977-2, 24 pages, © 2024 Retrieved again at admission on 2026-10-30 (SHA-256 e09a4103027b4f3c9bd3f8d7e1b7f427fea66f4d636f67c5a254a5f88af9438e, the same bytes). Both passes of the candidate pack retrieved this file; the bytes are identical, and one source row carries it.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: RAND Corporation, “The Operational Risks of AI in Large-Scale Biological Attacks: Results of a Red-Team Study (RR-A2977-2)”.
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, AI and biosecurity (research/ai-bio). The paraphrase is Selekoa’s, written from the text retrieved for the candidate pack on 2026-10-28; it is not a quotation and was not machine-matched. A cross-family machine check (2026-10-30, item 15) answered the record’s question blind from fresh retrievals and agreed with the record. 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. Publication of a specific document or version. Publication of a policy is not evidence of implementation.

Date. Date stated on RAND's publication page for RR-A2977-2; the report PDF carries only a 2024 copyright line.

Record ID ab-ev-rand-redteam-published