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Cross-Sectoral Text-Mining of GAI/LLM Governance Guidelines

A comparative text-mining analysis of 160 corporate Generative-AI/LLM governance guidelines across 14 industrial sectors (the IGGA dataset). A TF-IDF plus K-Means pipeline over tokenized, stopword-filtered, stemmed, and lemmatized policy text surfaces sector-specific themes and cross-sectoral convergence/divergence on ethics, data security, algorithmic bias, and accountability, yielding recommendations for responsible GAI/LLM deployment.

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Generative AI and LLMs in Industry: A text- mining Analysis and Critical Evaluation of Guidelines

A cross-sectoral text-mining study of GAI/LLM governance. The authors assemble 160 corporate guidelines and policy statements spanning 14 industrial sectors (healthcare, finance, technology, publishi…