AI Policy

    Making Local Law Legible: LLM-Assisted Detection of Discrimination

    Stanford HAI explores how large language models can analyze local legal codes to uncover systemic discrimination.

    Making Local Law Legible: LLM-Assisted Detection of Discrimination Stanford HAI

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    Stanford HAI

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    Stanford HAI
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    Leveraging LLMs to parse complex local ordinances allows researchers to identify discriminatory housing and zoning practices that were previously obscured by sheer volume. This methodology provides a scalable framework for holding municipalities accountable and fostering more equitable urban policy development.

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