想了解AI风险评估的学术框架？这篇综述覆盖了AI Act等监管背景，适合研究者快速掌握现状。
这篇论文基于欧盟AI Act等新兴监管框架，分析了AI系统风险评估与管理的需求。它梳理了从技术故障到伦理社会影响的风险谱系，并评述了多种AI风险识别与分析的方法论。论文还指出了当前方法论中的最佳实践与研究空白，为后续研究提供了方向。
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
The society and emerging risk-based regulatory frameworks for AI underscore the need for rigorous risk assessment to ensure safe and reliable AI systems. In response to this imperative, this paper presents an overview of AI risk assessment (identification and analysis) and management methodologies. It begins by reviewing the worldwide regulatory landscape that drives the need for systematic AI risk assessment. Then we characterize the spectrum of AI-related risks identified in the literature, from technical failures to ethical and social impacts. Subsequently, it reviews key risk assessment methodologies proposed for AI systems, focusing on general frameworks. The paper highlights best practices and illuminates methodological gaps, highlighting areas for further research on AI risk assessment.