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Mapping the AI governance landscape

2025

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AI-generated summary

1) This report pilots a methodology for mapping the AI governance landscape, evaluating the effectiveness of Large Language Models (LLMs) in categorizing AI governance documents and identifying key coverage gaps.
2) * Explores the use of LLMs for categorizing AI governance documents, comparing their performance to human reviewers.
* Analyzes the coverage of AI risks and industrial sectors within existing AI governance frameworks.
* Identifies limitations and proposes future directions for a comprehensive AI governance mapping pipeline.
3) AI governance, LLM classification, risk coverage, policy analysis, regulatory landscape

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