PAPER

AI Governance and Accountability: An Analysis of Anthropic's Claude

AI Safety / AI Ethics XAI AFBD EVA TRA
2024年05月02日
随着人工智能系统变得越来越普遍和有影响力，建立有效的人工智能治理和问责措施变得至关重要。本文审视了人工智能治理的现状，重点关注了Anthropic公司的Claude，这是一个基础性的人工智能模型。我们通过NIST人工智能风险管理框架和欧盟人工智能法案的视角来分析Claude，确定潜在的威胁并提出缓解策略。本文强调了透明度、严格的基准测试和全面的数据处理流程在确保人工智能系统负责任的开发和部署方面的重要性。最后，我们讨论了人工智能治理的社会影响和围绕人工智能问责的伦理考虑。
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.
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