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上海人工智能实验室&安远AI:2026前沿人工智能风险管理框架报告(英文版)(82页).pdf

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1、FrontierAI RiskManagementFrameworkFeb 2026Executive SummaryOur vision of trustworthy AGI developmentThe field of Artificial Intelligence AI is rapidly advancing,with systems increasingly performingat or above human levels across various domains.These breakthroughs offer unprecedented op-portunities

2、to address humanitys greatest challenges,from scientific discoveries and improvedhealthcare to enhanced economic productivity.However,this rapid progress also introducesunprecedented risks.As advanced AI development and deployment outpace crucial safety mea-sures,the need for robust risk management

3、has never been more critical.Shanghai Artificial Intelligence Laboratory is an advanced research institute focusing on AI re-search and application.Working in concert with universities and industry,we explore the futureof AI by conducting original and forward-looking scientific research that makes f

4、undamental con-tributions to basic theory as well as innovations in various technological fields.We strive to be-come a top-tier global AI laboratory,committed to the safe and beneficial development of AI.Toproactively navigate these challenges and foster a global“race to the top”in AI safety,we hav

5、eproposed the AI45 Law 1,a roadmap to trustworthy AGI.Introducing our Frontier AI Risk Management FrameworkIn July 2025,Shanghai AI Laboratory,in collaboration with Concordia AI,1released the FrontierAI Risk Management Framework v1.0(the“Framework”).We proposed a robust set of protocolsdesigned to e

6、mpower general-purpose AI developers with comprehensive guidelines for proac-tively identifying,assessing,mitigating,and governing a set of severe AI risks that pose threatsto public safety and national security,thereby safeguarding individuals and society.This framework serves as a guideline for ge

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1. **背景与目标**:上海人工智能实验室与Concordia AI于2025年7月发布《前沿AI风险管理框架》v1.0,2026年2月升级至v1.5,旨在为通用AI开发者提供风险识别、评估、缓解和治理的指南,确保AI安全可控。 2. **六大风险管理阶段**:包括风险识别、风险阈值、风险分析、风险评估、风险缓解和风险治理,形成闭环管理流程。 3. **核心风险分类**: - **滥用风险**:如网络攻击(C1-C3)、生物化学威胁(B1-B2)、大规模操纵等。 - **失控风险**:AI主动或被动脱离人类控制,需强化监督与应急机制。 - **事故风险**:关键基础设施(如核电站、金融系统)的AI失效可能引发连锁灾难。 - **系统性风险**:如劳动力市场冲击、市场集中依赖等,需跨行业协作。 4. **关键更新(v1.5)**: - 扩展“失控风险”场景与阈值,加强代理监督协议。 - 明确风险分析模块(模型评估、风险建模等),提升可操作性。 - 对接中国TC260框架与欧盟《通用AI模型行为准则》,增强互操作性。 5. **核心理念**:AI安全是全球公共产品,呼吁开发者、政策制定者共同行动,避免灾难性风险。
AI风险有哪些? 如何管理AI风险? AI安全如何保障?
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