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BioSecBench-Surveillance: A Verifiable Benchmark for AI Agents in Pathogen Genomic Surveillance
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- Researchers released BioSecBench-Surveillance, a benchmark with 100 evaluations testing whether AI agents can choose correct analysis pipelines for pathogen genomic sequencing data.
- Why it matters
- Bioinformaticians and biosecurity engineers evaluating AI for outbreak response need to assess whether models can reliably perform genomic surveillance analysis.
- Watch out
- Top models achieved only 50 percent accuracy; even when agents selected correct workflows, they failed on critical details like reference selection, thresholds, and normalization choices.
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