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New AIR-BENCH Live benchmark evolves with AI regulation and prompts

Researchers have introduced AIR-BENCH Live, an evolving safety benchmark designed to keep pace with the rapid advancements in foundation models and the development of AI safety legislation. This updated benchmark expands upon AIR-BENCH 2024 by incorporating a pipeline that monitors global regulations, classifies new policies, and generates multilingual prompts with minimal human intervention. The system has already increased the benchmark's scope to 335 granular risks, with new prompts proving more challenging for current models and revealing a tendency for models to be less safe with non-English inputs. AI

IMPACT This evolving benchmark aims to provide a more accurate and up-to-date assessment of foundation model safety as regulations and model capabilities advance.

RANK_REASON The item describes a new academic benchmark for AI safety, published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New AIR-BENCH Live benchmark evolves with AI regulation and prompts

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The item describes a new academic benchmark for AI safety, published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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safety, paper, policy
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Rohan Naphade, Minzhou Pan, Bo Li ·

    AIR-BENCH Live: An Evolving Safety Benchmark for Foundation Models

    arXiv:2607.22671v1 Announce Type: new Abstract: Foundation-model safety benchmarks capture the AI risks of their time of publication: as models improve and governments pass new AI-safety legislation, their risk taxonomies become incomprehensive and their attack prompts become ine…