Artificial Intelligence for data-driven decision-making and governance in public affairs

Vincent Charles, Nripendra P. Rana*, Lemuria Carter

*Corresponding author for this work

Research output: Contribution to journalEditorialpeer-review

8 Citations (Scopus)

Abstract

Literature shows there is a growing interest in studies involving Artificial Intelligence (AI) in the public sector; and while there is evidence of many governmental initiatives that have been established to harness the power of AI, empirical research on the topic and evidence-based insights are rather lacking. The aim of this Special Issue on Artificial Intelligence for Data-Driven Decision-Making and Governance in Public Affairs is to extend both the theoretical and practical boundaries of AI research in the public sector in order to improve governmental decision-making and governance, thus enhancing public value creation. The papers in this special issue focus on AI risks and guidelines, AI governance, the risks of governmental implementation of AI to citizens' privacy, increasing citizen satisfaction through AI-enabled government services, the enablers and challenges of AI implementation in specific public sectors, and using AI to study political opinion. These papers not only advance our knowledge and understanding of the use of AI in government and public governance, but they also help to set out a renewed research agenda. Future research should, among other things, focus on inter- and multi-disciplinary empirical studies that call for the collaboration of a variety of stakeholders; on the longitudinal dynamics of creating public value through the breadth and depth of AI assimilation; and on the investigation of the ethical challenges (particularly data privacy) in AI implementation.

Original languageEnglish
Article number101742
Number of pages4
JournalGovernment Information Quarterly
Volume39
Issue number4
Early online date26 Sept 2022
DOIs
Publication statusPublished - 01 Oct 2022
Externally publishedYes

Keywords

  • Artificial intelligence
  • Data-driven decision-making
  • Public governance
  • Public sector
  • Research agenda

ASJC Scopus subject areas

  • Sociology and Political Science
  • Library and Information Sciences
  • Law

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