Big Questions of Artificial Intelligence (AI) in Public Administration and Policy

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Uzun M. M., YILDIZ M., oender M.

SIYASAL-JOURNAL OF POLITICAL SCIENCES, vol.31, no.2, pp.423-442, 2022 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 31 Issue: 2
  • Publication Date: 2022
  • Doi Number: 10.26650/siyasal.2022.31.1121900
  • Journal Indexes: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Page Numbers: pp.423-442
  • Keywords: Big Questions, AI, Public Administration, Public Policy, AI Governance, AI Policy, DATA SCIENCE, MANAGEMENT, GOVERNMENT, CHALLENGES, FRAMEWORK, FUTURE, AUTOMATION, DISCRETION, ICT
  • Hacettepe University Affiliated: Yes


Technological advancements have created notable turning points throughout the history of humanity. Influential transformations in the administrative structures are the result of modern technological discoveries. The artificial intelligence (AI) ecosystems and algorithms now affect daily lives, communities, and government structures more than ever. Governments are the main coordinators of technological transition and supervisors of the activities of modern public administration systems. Hence, public administration and policies have crucial responsibilities in integrating, governing, and regulating AI technology. Integrating AI into public administration and the policy-making process allows numerous opportunities. However, AI technology also contains many threats and risks in economic, social, and even political structures in the long term. This article concentrates on the big questions of AI in the public administration and policy literature. The big questions discussion started in 1995 by Robert Behn drawing attention to the big questions as the primary driving force of a public administration research agenda. The fundamental motivation of the big questions approach is shaped by the fact that "questions are as important as answers." This article aims to identify big questions and discuss potential answers and solutions from an AI governance research agenda perspective.