The dark sides of artificial intelligence: An integrated AI governance framework for public administration
Abstract
As government and public administration lag behind the rapid development of AI in their efforts to provide adequate governance, they need respective concepts to keep pace with this dynamic progress. The literature provides few answers to the question of how government and public administration should respond to the great challenges associated with AI and use regulation to prevent harm. This study analyzes AI challenges and former AI regulation approaches. Based on this analysis and regulation theory, an integrated AI governance framework is developed that compiles key aspects of AI governance and provides a guide for the regulatory process of AI and its application. The article concludes with theoretical implications and recommendations for public officers.
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Compared to the private sector, there is less knowledge concerning AI challenges specifically associated with the public sector.
“Compared to the private sector, there is less knowledge concerning AI challenges specifically associated with the public sector (Aoki, 2020;Wang & Siau, 2018;Wirtz, Weyerer, & Sturm, 2020).”
From Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021) · cites this paper as Wirtz, Weyerer, & Sturm, 2020
Wirtz et al. (2020) use regulation theory as a basis for an AI governance framework.
“Wirtz et al. (2020) use regulation theory as a basis for an AI governance framework.”
From Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021) · cites this paper as Wirtz et al. (2020)
There is a lack of consensus on how to handle the challenges of AI associated with the public sector in the future.
“Furthermore, there is a lack of consensus on how to handle the challenges of AI associated with the public sector in the future (Wang & Siau, 2018;Wirtz et al., 2020).”
From Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021) · cites this paper as Wirtz et al., 2020
Wirtz et al. (2020) were only able to identify two frameworks focused on the governance or regulation of AI risks and challenges, namely those of Gasser and Almeida (2017) and Rahwan (2018).
“While looking for frameworks focused on the governance or regulation of AI risks and challenges, Wirtz et al. (2020) were only able to identify two such frameworks, namely those of Gasser and Almeida (2017) and Rahwan (2018).”
From Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021) · cites this paper as Wirtz et al., 2020
These models fail to address how to design and implement AI governance or how to address government responsibilities in governance implementation.
“They state that these models fail to address how to design and implement AI governance or how to address government responsibilities in governance implementation.”
From Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021) · cites this paper as Wirtz et al., 2020
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- Authors
- Wirtz, B. W., Weyerer, J. C., & Sturm, B. J.
- Affiliations
- German University of Administrative Sciences (DE)
- Corresponding author
- Wirtz, Bernd W.
- Venue
- International Journal of Public Administration
- Publisher
- Informa UK Limited
- Published
- 2020-04-15
- Volume
- 43
- Issue
- 9
- Pages
- 818-829
- ISSN
- 0190-0692 (ISSN-L)
- 1532-4265
- OpenAlex
- W3017205423
- Cited by
- 398
- References
- 20
- Citations by year
- 2026: 92 · 2025: 99 · 2024: 78 · 2023: 61 · 2022: 46 · 2021: 20 · 2020: 2
- FWCI
- 44.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Public Administration (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Keywords
- AI governance, AI regulation, public administration, regulation theory, governance framework, AI harms, regulatory process
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