We present a comprehensive AI risk taxonomy derived from eight government policies from the European Union, United States, and China and 16 company policies worldwide, making a significant step towards establishing a unified language for generative AI safety evaluation. We identify 314 unique risk categories organized into a four-tiered taxonomy. At the highest level, this taxonomy encompasses System & Operational Risks, Content Safety Risks, Societal Risks, and Legal & Rights Risks. The taxonomy establishes connections between various descriptions and approaches to risk, highlighting the overlaps and discrepancies between public and private sector conceptions of risk. By providing this unified framework, we aim to advance AI safety through information sharing across sectors and the promotion of best practices in risk mitigation for generative AI models and systems.

我们提出了一个综合的AI风险分类法，该分类法源自欧盟、美国和中国的八项政府政策以及全球16家公司的政策，并在生成式AI安全评估中迈出了重要的一步，为建立统一的语言奠定了基础。我们识别出314个独特的风险类别，并将其组织成了四层次的分类法。该分类法从最高层次包括系统与运营风险、内容安全风险、社会风险和法律与权利风险。通过提供这个统一的框架，我们旨在通过跨部门的信息共享和风险缓解的最佳实践推动AI安全。

人工智能风险分类解析 (AIR 2024): 从政府法规到企业政策