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

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arxiv 2407.01557 v1 pith:TNU7ROQK submitted 2024-05-02 cs.CY cs.AIcs.CL

Aman Priyanshu , Yash Maurya , Zuofei Hong This is my paper · ORCID
classification cs.CYcs.AIcs.CL
keywords governanceaccountabilityclaudeanthropicsystemsanalysisanalyzebecome
verification ladder T0 review T1 audit T2 compute T3 formal

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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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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 7 citations worldwide. Full citation record

  1. TextGaze: Prompting Gaze Target Estimation with Textual Scene Cues

    cs.CV 2026-07 accept novelty 6.0 of 10

    TextGaze fuses LVLM-generated textual cues of appearance, action and gaze direction with DINOv2 features via a hierarchically supervised transformer to estimate gaze heatmaps and in/out status.

  2. SafeLawBench: Towards Safe Alignment of Large Language Models

    cs.CL 2025-06 conditional novelty 6.0 of 10

    SafeLawBench introduces a legal-safety taxonomy and 25,966 tasks on which 20 LLMs average 68.8% accuracy and the best model, Claude-3.5-Sonnet, reaches 80.5%.

  3. Agentic Web: Weaving the Next Web with AI Agents

    cs.AI 2025-07 conditional novelty 3.0 of 10

    A position paper defines the Agentic Web as the next web era and proposes a three-dimensional conceptual framework for understanding and building it.

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