ForesightSafety Bench: Comprehensive AI Safety Benchmark

ForesightSafety Bench provides a structured framework for evaluating AI systems across fundamental content safety, extended domains such as deception, embodied and environmental risks, AI-for-science safety, social impacts, and catastrophic and existential risk scenarios, as well as multiple industrial application areas. Beijing-AISI publishes open-source code, datasets and a public leaderboard for the benchmark, and a 2026 arXiv paper details how its three-level, 22-pillar, 94-dimension structure is used to diagnose safety weaknesses in state-of-the-art foundation models and inform governance and standards work.

Endorsements support Beijing Institute of AI Safety and Governance (Beijing-AISI).

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