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dc.contributor.authorKusumasari, Bevaola
dc.contributor.authorYahya, Bernardo Nugroho
dc.date.accessioned2024-12-02T10:13:15Z
dc.date.available2024-12-02T10:13:15Z
dc.date.issued2024
dc.identifier.urihttp://digilib.fisipol.ugm.ac.id/repo/handle/15717717/21196
dc.description.abstractThe objective of this study is to examine the effects of generative artificial intelligence (AI) tools, with a specific focus on ChatGPT, on the analytical proficiencies of policy analysts operating in Indonesia. Considering the increasing intricacies of contemporary governance and the emergence of "wicked problems," this study investigates the potential of AI to facilitate the development of inventive, data-centric public policies. Involving postgraduate students in a quasi-experimental design, this study investigated the efficacy of ChatGPT in assisting in the development of policy solutions pertaining to air pollution in Jakarta. Specialized prompt engineering techniques are utilized in this study to enhance the utility of ChatGPT for policy analysis. The results suggest that, although generative AI tools such as ChatGPT provide systematic frameworks for tackling complex policy issues and may enhance analytical skills, they still require additional refinement to increase their empirical support and practical applicability in the Indonesian policy context. In accordance with incrementalism theory, the study concludes that incorporating AI into policy analysis can facilitate the gradual formulation of evidence-based policies, offering a pragmatic approach to the resolution of complex problems in the public sector.en_US
dc.language.isoenen_US
dc.publisherAI and Societyen_US
dc.subjectGenerative artifcial intelligence (AI)en_US
dc.subjectPolicy analysten_US
dc.subjectIndonesiaen_US
dc.subjectChatGPTen_US
dc.subjectPublic policy wicked problems incrementalismen_US
dc.subjectQuasi-experimental designen_US
dc.titleAlgorithmic governance and AIen_US
dc.title.alternativeBalancing innovation and oversight in Indonesian policy analysten_US
dc.typeArticleen_US


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