publication
The Operational Risks of AI in Large-Scale Biological Attacks: Results of a Red-Team Study
Metadata
| Source Table | publications |
| Source ID | ygw8nWAYWW |
| Description | Christopher A. Mouton, Caleb Lucas, Ella Guest, 2024 |
| Source URL | www.rand.org/pubs/research_reports/RRA2977-2.html |
| Parent | RAND Corporation |
| Children | — |
| Created | Mar 23, 2026, 2:16 PM |
| Updated | Mar 23, 2026, 2:16 PM |
| Synced | Mar 23, 2026, 2:16 PM |
Record Data
id | ygw8nWAYWW |
entityId | RAND Corporation(organization) |
entityDisplayName | — |
resourceId | — |
title | The Operational Risks of AI in Large-Scale Biological Attacks: Results of a Red-Team Study |
authors | Christopher A. Mouton, Caleb Lucas, Ella Guest |
url | www.rand.org/pubs/research_reports/RRA2977-2.html |
venue | — |
publishedDate | 2024 |
publicationType | report |
citationCount | — |
isFlagship | Yes |
abstract | — |
source | www.rand.org/pubs/research_reports/RRA2977-2.html |
notes | LLMs did NOT measurably increase bio-attack risk. Informed White House AI policy. |
Source Check Verdicts
confirmed99% confidence
Last checked: 4/3/2026
All key fields in the record are directly confirmed by the source text. The title, authors (all three named), publication date (January 25, 2024, which falls within 2024), and URL match exactly. The publication type is confirmed as a research report, as stated in the source: 'This publication is part of the RAND research report series. Research reports present research findings and objective analysis...' The document number RR-A2977-2 and DOI are also present in the source, further confirming authenticity.
Debug info
Thing ID: ygw8nWAYWW
Source Table: publications
Source ID: ygw8nWAYWW