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Mapping the AI Governance Landscape

2025

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AI-generated summary

1) This report maps the current AI governance landscape by analyzing over 950 documents, identifying covered risks and mitigations, and evaluating the effectiveness of AI in this classification process.
2) * Explores the coverage of AI risks and industrial sectors within existing governance documents.
* Compares the performance of various Large Language Models (LLMs) against human reviewers in classifying AI governance documents.
* Details the methodology, findings, and limitations of using LLMs for AI governance analysis.
3) AI governance, LLM classification, risk assessment, mitigation strategies, regulatory landscape

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