Artificial Intelligence in Governance and the Governance of Artificial Intelligence
Keywords: Artificial Intelligence, Machine Learning, Governance, Public Policy, Data Governance ,
Abstract :
The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has significantly impacted public governance, raising critical questions about transparency, regulation, and accountability. This study aims to examine the two dimensions of "AI governance" and "governance of AI", proposing a framework to address the challenges posed by these technologies.
The research methodology follows a meta-synthesis approach, analyzing 31 key studies published between 2015 and 2023. Findings indicate that AI enhances decision-making accuracy, resource allocation efficiency, and transparency in governance. However, it simultaneously introduces challenges related to ethical considerations, regulatory frameworks, and legal issues. In response, this study proposes a three-dimensional AI governance model, encompassing technical, legal, ethical, and public policy aspects.
The results of this study can assist policymakers in developing regulatory frameworks, designing oversight mechanisms, and ensuring the responsible integration of AI into public governance. It is recommended that governments, in addition to investing in AI infrastructure, prioritize algorithmic transparency and enhance the accountability of decision-making institutions.
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