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  • This briefing by the Stockholm Environment Institute (SEI) details a pilot project evaluating the use of the SEI AI Reader, a tool based on large language models, to conduct systematic policy analysis. The project tested the tool's ability to extract data from policy evaluations and audits using a framework of 12 independent variables and 46 questions, focusing on climate policy implementation. The results indicate that with iterative prompt calibration, the AI can achieve high levels of accuracy and consistency, making it a viable method for processing large volumes of grey literature to identify drivers of successful policy outcomes.

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    Themes: climate policypolicy evaluationartificial intelligencegrey literature
    Stockholm Environment Institute

    Document type: Briefing

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