Strategic Studies of public policy

Strategic Studies of public policy

Identifying and prioritizing the obstacles and challenges of data-driven governance from the perspective of applying artificial intelligence and data-based technologies in the public sector

Document Type : Research Paper

Authors
iman akbari 1
hasan danaee fard 2
Mahdi َAbdolhamid 3
mostafa MAHMOUDI 4
mehdi khosravi 5
1 Researcher of the Research Center of the Islamic Council, Ph.D. student of Public Administration of Allameh Tabatabai University
2 Professor of Management and Economics at Tarbiat Modares University
3 Iran University of Science and Technology
4 Faculty of Governance, University of Tehran
5 Department of Public Administration, Faculty of Management & Economics, Tarbiat Modares University, Tehran, Iran
10.22034/sspp.2024.2026836.3610
Abstract
The public sector is facing diverse and complex challenges in the current era. Solving these challenges, which are often related to the development of communication and data, will not be possible except by benefiting from the capacities created by these technologies and realizing data-driven governance. Artificial intelligence technology is one of the revolutionary technologies in the current era that can be used to improve the quality of governance. In order to apply this technology, it is necessary to first consider possible obstacles and challenges in a conscious way. Therefore, in the current research, after a systematic review of the literature, 16 obstacles and challenges of using artificial intelligence in the public sector have been identified and prioritized using the fuzzy simple weighting method(FSAW). According to the findings, "access to data and its quality" have been identified as the most important obstacle, and "ignoring public and social considerations" as the most important challenge. Finally, the identified cases are placed in 6 economic, social, political, managerial, technological and ethical categories, and policy recommendations are proposed according to each category and relevant stakeholders.
Keywords
Data-driven governance
Artificial intelligence
challenges
obstacles
FSAW

Subjects

Strategic Studies of public policy
Volume 14, Issue 51
special paper "Discussion governance in Iran"
Summer 2024
Pages 56-81