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%T Designing an Evaluation System for Climate Change Mitigation Policies using GPT-4 %A Cecconi, Federico %A Marconi, Luca %A Barazzetti, Alessandro %P 12 %D 2024 %K GPT-4; ESG %> https://nbn-resolving.org/urn:nbn:de:0168-ssoar-93781-2 %X In the realm of addressing global warming, the development and implementation of effective policies play a pivotal role. Given the vast amount of legislative documents generated annually, it becomes imperative to have a system in place that can efficiently analyze these documents to identify measures aimed at climate change mitigation. This article outlines the design of an innovative system that employs GPT-4, a state-of-the-art language model developed by OpenAI, to evaluate climate change policy. The proposed system is designed to ingest legislative documents as input and utilize GPT-4 to identify, categorize, and evaluate the policies within these documents that are related to climate change mitigation efforts. The system would be capable of processing a wide range of document formats and languages, thanks to GPT-4's multimodal and multilingual capabilities. %C CHE %G en %9 Arbeitspapier %W GESIS - http://www.gesis.org %~ SSOAR - http://www.ssoar.info