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

Verdictconfirmed95%
1 check · 4/16/2026

The source text confirms all key elements of the claim: (1) The publication title matches exactly; (2) It is authored by Li et al. (Nathaniel Li is the first author); (3) Multiple authors are affiliated with Center for AI Safety; (4) The benchmark measures dual-use AI capabilities in biosecurity, cybersecurity, and chemical security; (5) The arxiv ID 2403.03218 matches the source URL, confirming the March 2024 date. The claim accurately represents the paper's content and authorship.

Our claim

entire record
Subject
Center for AI Safety (CAIS)
Value
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning — benchmark for evaluating dual-use AI capabilities in biosecurity, cybersecurity, and chemical weapons
As Of
March 2024
Notes
By Li et al.

Source evidence

1 src · 1 check
confirmed95%primaryHaiku 4.5 · 4/16/2026

NoteThe source text confirms all key elements of the claim: (1) The publication title matches exactly; (2) It is authored by Li et al. (Nathaniel Li is the first author); (3) Multiple authors are affiliated with Center for AI Safety; (4) The benchmark measures dual-use AI capabilities in biosecurity, cybersecurity, and chemical security; (5) The arxiv ID 2403.03218 matches the source URL, confirming the March 2024 date. The claim accurately represents the paper's content and authorship.

Case № f_apd264NL5hFiled 4/16/2026Confidence 95%