AI Governance and Accountability: An Analysis of Anthropic's Claude
It addresses the problem of ensuring responsible AI development for policymakers and developers, but is incremental as it applies existing frameworks to a specific case.
This paper analyzes AI governance and accountability by examining Anthropic's Claude through frameworks like NIST AI Risk Management and the EU AI Act, identifying threats and proposing mitigation strategies such as transparency and rigorous benchmarking.
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.