AI治理与问责：对Anthropic的Claude的分析
AI Governance and Accountability: An Analysis of Anthropic's Claude
AI总结：
本文基于NIST AI风险管理框架与EU AI Act分析Anthropic的Claude，识别风险并提出缓解策略，强调透明度、基准测试与数据治理对负责任AI的重要性。
摘要：
随着AI系统日益普及并产生深远影响，制定有效的AI治理与问责措施变得至关重要。本文考察AI治理格局，重点关注Anthropic的Claude这一基础AI模型。我们通过NIST AI风险管理框架和EU AI Act的视角分析Claude，识别潜在威胁并提出缓解策略。本文强调透明度、严格基准测试以及全面数据处理流程在确保AI系统负责任开发与部署中的重要性。最后，我们讨论AI治理的社会影响以及围绕AI问责的伦理考量。
英文摘要：
As AI systems become increasingly prevalent and impactful, the need for effective AI governance and accountability measures is paramount. This paper examines the AI governance landscape, focusing on Anthropic's Claude, a foundational AI model. We analyze Claude through the lens of the NIST AI Risk Management Framework and the EU AI Act, identifying potential threats and proposing mitigation strategies. The paper highlights the importance of transparency, rigorous benchmarking, and comprehensive data handling processes in ensuring the responsible development and deployment of AI systems. We conclude by discussing the social impact of AI governance and the ethical considerations surrounding AI accountability.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
