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most citedBenchmark Early and Red Team Often: A Framework for Assessing and Managing Dual-Use Hazards of AI Foundation Models

3 citations · 6 across the 4 of their papers we have counts for

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cs.CR2024★ 3 cited

Benchmark Early and Red Team Often: A Framework for Assessing and Managing Dual-Use Hazards of AI Foundation Models

Anthony M. Barrett, Krystal Jackson, Evan R. Murphy +2

A concern about cutting-edge or "frontier" AI foundation models is that an adversary may use the models for preparing chemical, biological, radiological, nuclear, (CBRN), cyber, or…