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[2602.14457] Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5
Summary
This technical report presents a comprehensive risk analysis framework for frontier AI, focusing on emerging threats and mitigation strategies associated with advanced AI models.
Why It Matters
As AI technologies evolve rapidly, understanding their associated risks is crucial for ensuring safety and ethical deployment. This report provides actionable insights into managing risks related to AI capabilities, which is vital for researchers, policymakers, and industry leaders.
Key Takeaways
- Identifies five critical dimensions of AI risks: cyber offense, persuasion, strategic deception, uncontrolled AI R&D, and self-replication.
- Proposes robust mitigation strategies to address emerging threats in AI deployment.
- Highlights the importance of collective action in managing AI risks effectively.
- Introduces new experimental scenarios for evaluating AI risks and safety performance.
- Reflects the current understanding of frontier AI risks and the need for ongoing research.
Computer Science > Artificial Intelligence arXiv:2602.14457 (cs) [Submitted on 16 Feb 2026] Title:Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5 Authors:Dongrui Liu, Yi Yu, Jie Zhang, Guanxu Chen, Qihao Lin, Hanxi Zhu, Lige Huang, Yijin Zhou, Peng Wang, Shuai Shao, Boxuan Zhang, Zicheng Liu, Jingwei Sun, Yu Li, Yuejin Xie, Jiaxuan Guo, Jia Xu, Chaochao Lu, Bowen Zhou, Xia Hu, Jing Shao View a PDF of the paper titled Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5, by Dongrui Liu and 20 other authors View PDF HTML (experimental) Abstract:To understand and identify the unprecedented risks posed by rapidly advancing artificial intelligence (AI) models, Frontier AI Risk Management Framework in Practice presents a comprehensive assessment of their frontier risks. As Large Language Models (LLMs) general capabilities rapidly evolve and the proliferation of agentic AI, this version of the risk analysis technical report presents an updated and granular assessment of five critical dimensions: cyber offense, persuasion and manipulation, strategic deception, uncontrolled AI R\&D, and self-replication. Specifically, we introduce more complex scenarios for cyber offense. For persuasion and manipulation, we evaluate the risk of LLM-to-LLM persuasion on newly released LLMs. For strategic deception and scheming, we add the new experiment with respect to emergent misalignment. For uncontrolled AI R\&D, we foc...
