publication
Forecasting LLM-Enabled Biorisk and the Efficacy of Safeguards
Metadata
| Source Table | publications |
| Source ID | TOM4zHcHmc |
| Description | Williams, Righetti, Rosenberg et al., 2025-07 |
| Source URL | www.governance.ai/research-paper/forecasting-llm-enabled-biorisk-and-the-efficacy-of-safeguards |
| Parent | GovAI |
| Children | — |
| Created | Mar 23, 2026, 2:39 PM |
| Updated | Mar 23, 2026, 2:39 PM |
| Synced | Mar 23, 2026, 2:39 PM |
Record Data
id | TOM4zHcHmc |
entityId | GovAI(organization) |
entityDisplayName | — |
resourceId | — |
title | Forecasting LLM-Enabled Biorisk and the Efficacy of Safeguards |
authors | Williams, Righetti, Rosenberg et al. |
url | www.governance.ai/research-paper/forecasting-llm-enabled-biorisk-and-the-efficac… |
venue | — |
publishedDate | 2025-07 |
publicationType | paper |
citationCount | — |
isFlagship | No |
abstract | — |
source | www.governance.ai/research-paper/forecasting-llm-enabled-biorisk-and-the-efficac… |
notes | — |
Source Check Verdicts
confirmed95% confidence
Last checked: 3/26/2026
The source text directly confirms all key fields in the record. The title matches exactly, the authors are listed in full (Williams, Righetti, Rosenberg et al. is an accurate shorthand for the full author list), the publication date is confirmed as July 1, 2025 (matching 2025-07), the URL is provided, and the publication type as a research paper is confirmed. All verifiable claims in the record are supported by the source.
Debug info
Thing ID: TOM4zHcHmc
Source Table: publications
Source ID: TOM4zHcHmc