Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report
Risk-analysis report credited to Shanghai Artificial Intelligence Laboratory that applies the Frontier AI Risk Management Framework (v1.0); arXiv 2507.16534, version 1 of 22 July 2025 cited. What it states about models is the laboratory's own assessment.
- Issued by
- Shanghai Artificial Intelligence Laboratory / 上海人工智能实验室
- Authors credited
- Zhou Bowen
- Dates
- Published 2025-07-22 issue evidence authorship evidence
- Exact source
- Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report arXiv · published 2025-07-22 · Dated document, retrieved on 2026-10-29 (SHA-256 f62e193deeccc890f47df2ae9e8dd75bb93e00a7dd977a3530d44249d87fa049) directly from the publisher. Version: 2507.16534v1. PDF of version 1 (22 July 2025); the abstract page notes a later v2 of 26 July 2025, not inspected.
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Issue and authorship records
- Issued by: Shanghai Artificial Intelligence Laboratory / 上海人工智能实验室Shanghai Artificial Intelligence Laboratory posted 'Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report' to arXiv on 22 July 2025 (version 1).2025-07-22 · publication · Stated in source · Supported Inspect claim & evidence ↗Shanghai Artificial Intelligence Laboratory / 上海人工智能实验室: institution →
- Author: Zhou BowenThe risk-analysis report (arXiv version 1) names Bowen Zhou as its Scientific Director in its authorship section.2025-07-22 · publication · Stated in source · Supported Inspect claim & evidence ↗Zhou Bowen: person page →
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Cites · 1
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- Frontier AI Risk Management Framework (v1.0)The risk-analysis report states that it draws on the E-T-C analysis of the Frontier AI Risk Management Framework (v1.0), which it cites as Shanghai AI Lab & Concordia AI, 2025.2025-07-22 · publication · Stated in source · Supported Inspect claim & evidence ↗Frontier AI Risk Management Framework · v1.0: document page →
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What the document states
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- StatementAssessment: all recent frontier AI models evaluated reside in the green and yellow zones, without crossing red lines“Experimental results show that all recent frontier AI models reside in green and yellow zones, without crossing red lines.”AbstractInspect claim & evidence ↗
- StatementCritical risks identified in seven areas: cyber offense, biological and chemical risks, persuasion and manipulation, uncontrolled autonomous AI R&D, strategic deception and scheming, self-replication, collusion“we identify critical risks in seven areas: cyber offense, biological and chemical risks, persuasion and manipulation, uncontrolled autonomous AI R&D, strategic deception and scheming, self-replication, and collusion”AbstractInspect claim & evidence ↗
- StatementRisk zones: green (routine deployment with monitoring), yellow (strengthened mitigations, controlled deployment), red (suspension of development and/or deployment)“yellow (requiring strengthened mitigations and controlled deployment), and red (necessitating suspension of development and/or deployment)”AbstractInspect claim & evidence ↗