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Center for AI Safety — publication: The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning — benchmark for evaluating dual-use AI capabilities in biosecurity, cybersecurity, and chemical weapons

partial85% confidence

1 evidence check

Last checked: 3/31/2026

The claim has two main components: (1) the publication title, scope, and date are confirmed by the source; (2) the attribution to CAIS is not addressed in the provided source text. The source shows this is an arXiv paper with 56 authors but does not explicitly identify it as a CAIS publication. While CAIS may be involved (given the nature of the work and some author names like Alexandr Wang who is associated with CAIS), the source excerpt does not confirm institutional affiliation. This is a partial confirmation because the publication details are correct but the organizational attribution cannot be verified from the provided text.

Evidence — 1 source, 1 check

partial85%primaryHaiku 4.5 · 3/31/2026
Found: The paper is titled 'The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning' and covers biosecurity, cybersecurity, and chemical security. However, the source does not explicitly sta

Note: The claim has two main components: (1) the publication title, scope, and date are confirmed by the source; (2) the attribution to CAIS is not addressed in the provided source text. The source shows this is an arXiv paper with 56 authors but does not explicitly identify it as a CAIS publication. While CAIS may be involved (given the nature of the work and some author names like Alexandr Wang who is associated with CAIS), the source excerpt does not confirm institutional affiliation. This is a partial confirmation because the publication details are correct but the organizational attribution cannot be verified from the provided text.

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Record type: fact

Record ID: f_apd264NL5h

Source Check: Fact f_apd264NL5h | Longterm Wiki