Document Type : Review
Authors
1 Assistant Prof., Department of Public Administration and Public Policy, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
2 Professor of the Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran.
3 PhD Candidate in futures studies, University of Tehran, Tehran, Iran.
Abstract
In the contemporary era of digital transformation and escalating complexity of social, economic, and environmental challenges, the integration of artificial intelligence into public policymaking has evolved into a strategic imperative. This research is designed with the objective of conducting a critical analysis of artificial intelligence's role in the era of digital transformations and increasing complexity of social, economic, and environmental issues, utilizing artificial intelligence in public policymaking has become a strategic necessity. This research aims to critically analyze the role of artificial intelligence in the policymaking process and provide an indigenous framework for using AI in Iran's decision-making system. The research methodology has been developed through a systematic review using PRISMA standards and comparative analysis of leading countries' experiences such as Canada, Estonia, and Singapore. In this study, 632 articles were identified in the initial search, and after applying inclusion and exclusion criteria, 28 credible scientific articles were subjected to in-depth analysis. The research findings indicate that artificial intelligence plays a key role in all stages of policymaking, including problem identification, policy analysis, solution design, effective implementation, and continuous improvement evaluation. The most important AI functions include big data processing, identifying hidden patterns, predicting outcomes, and social network analysis. However, challenges such as algorithmic bias, lack of model transparency, and privacy threats still persist. Based on the findings, this article proposes a three-layered indigenous framework appropriate to Iran's requirements that, while strengthening transparency, accountability, and efficiency, provides the foundation for developing data-driven and intelligent governance.
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