Analysis of Using Artificial Intelligence in Dynamic Public Policy

Document Type : Research Article

Authors

1 PhD Student of Public Policy, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

2 Associate Professor of Political Science, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

3 Professor of Political Science, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

10.22059/jppolicy.2024.99825

Abstract

The policy landscape is changing; Because artificial intelligence (AI) technologies are increasingly integrated into policy-making processes. This article first analyzes the modernization of policymaking by artificial intelligence and then examines the challenges and opportunities presented by these changes, with the aim of providing insight on how artificial intelligence can increase the efficiency, accuracy and responsiveness of policy evaluations. The main question of the article is what challenges do policy makers face when integrating artificial intelligence technologies into the public policy cycle. Our hypothesis is that the integration of artificial intelligence in public policymaking will lead to more accurate policymaking and policy evaluation, faster feedback loops, and ultimately more effective policy outcomes compared to traditional evaluation methods. The final conclusion shows that our hypothesis is strengthened and data processing through the proposed algorithm along with artificial intelligence techniques creates valuable information for decision makers in the field of public policy. The current research is of a descriptive-analytical type and the researchers have summarized this article using the library method.

Keywords

References

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Iranian Journal of Public Policy
Volume 10, Issue 4
December 2024
Pages 37-53

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