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Artificial Intelligence in the Public Sector - a Research Agenda

Author

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  • Bernd W. Wirtz
  • Paul F. Langer
  • Carolina Fenner

Abstract

Artificial intelligence (AI) is becoming increasingly important for the public sector. As the number of studies in this field increases, this study provides a systematic overview of the current literature on AI in the public sector. Therefore, key findings and implications of the literature are highlighted and recommendations for further research are provided. The study is based on a quantitative and qualitative analysis of 189 selected articles. It draws on findings from previous review studies and compares them with new findings from current studies. Overall, it shows that the current state of research is heterogeneous and thematically and methodologically unbalanced. Many studies on AI in the government context focus on governance and administration, while more specific application areas receive less attention. Studies to date focus in detail on changes to existing government structures, while the creation of entirely new structures due to new AI technologies is given less consideration.

Suggested Citation

  • Bernd W. Wirtz & Paul F. Langer & Carolina Fenner, 2021. "Artificial Intelligence in the Public Sector - a Research Agenda," International Journal of Public Administration, Taylor & Francis Journals, vol. 44(13), pages 1103-1128, October.
    • Handle: RePEc:taf:lpadxx:v:44:y:2021:i:13:p:1103-1128
    DOI: 10.1080/01900692.2021.1947319
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    Cited by:

    1. Bar-Gil, Oshri & Ron, Tom & Czerniak, Ofir, 2024. "AI for the people? Embedding AI ethics in HR and people analytics projects," Technology in Society, Elsevier, vol. 77(C).

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