The Application of Artificial Intelligence in Policy Formulation (Intelligent Policy Formulation)

Authors

    Mehdi Askari PhD student, Department of Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
    Ali Rashidpoor * Associate Professor, Department of Management, Isfahan Branch (Khoresgan), Islamic Azad University, Isfahan, Iran ali.rashidpoor94@gmail.com
    Akbar Etebarian Professor, Department of Management, Isfahan (Khoresgan) Branch, Islamic Azad University, Isfahan, Iran
    Farsad Zamani Assistant Professor, Department of Computer Engineering, Isfahan (Khoresgan) Branch, Islamic Azad University, Isfahan, Iran
https://doi.org/10.61838/kman.aitech.3.2.5

Keywords:

policy formulation, artificial intelligence , characteristics of artificial intelligence

Abstract

Since previous policies have failed to adequately address existing public issues in society and have often created new problems themselves, it is necessary to move towards utilizing new tools, such as artificial intelligence (AI), to enhance policymaking. This article aims to review the characteristics of artificial intelligence to answer the question of why its utilization is necessary in the policy formulation process. To achieve this objective, among 100 articles retrieved from Google Scholar, 30 articles were selected, and subsequently, 10 articles were analyzed using note-taking to identify AI characteristics applicable to policy formulation. Artificial intelligence possesses capabilities such as analytical power, recognition, learning, prediction, foresight, the creation of large databases, and neural networks. By leveraging these features, in addition to existing capabilities, it is possible to achieve more precise and higher-quality policies, thereby enabling intelligent policy formulation.

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Published

2025-04-01

How to Cite

Askari, M., Rashidpoor, A., Etebarian, A. ., & Zamani, F. . (2025). The Application of Artificial Intelligence in Policy Formulation (Intelligent Policy Formulation). AI and Tech in Behavioral and Social Sciences, 3(2), 41-47. https://doi.org/10.61838/kman.aitech.3.2.5