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Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector

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  • Yu-Che Chen

    (School of Public Administration, University of Nebraska at Omaha, Omaha, NE 68182, USA)

  • Michael J. Ahn

    (John W. McCormack Graduate School, University of Massachusetts Boston, Boston, MA 02125, USA)

  • Yi-Fan Wang

    (School of Public Administration, University of Nebraska at Omaha, Omaha, NE 68182, USA)

Abstract

While there has been growth in the literature exploring the governance of artificial intelligence (AI) and recognition of the critical importance of guiding public values, the literature lacks a systematic study focusing on public values as well as the governance challenges and solutions to advance these values. This article conducts a systematic literature review of the relationships between the public sector AI and public values to identify the impacts on public values and the governance challenges and solutions. It further explores the perspectives of U.S. government employees on AI governance and public values via a national survey. The results suggest the need for a broad inclusion of diverse public values, the salience of transparency regarding several governance challenges, and the importance of stakeholder participation and collaboration as governance solutions. This article also explores and reports the nuances in these results and their practical implications.

Suggested Citation

  • Yu-Che Chen & Michael J. Ahn & Yi-Fan Wang, 2023. "Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4796-:d:1091158
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    References listed on IDEAS

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    1. Paul Henman, 2020. "Improving public services using artificial intelligence: possibilities, pitfalls, governance," Asia Pacific Journal of Public Administration, Taylor & Francis Journals, vol. 42(4), pages 209-221, October.
    2. Desouza, Kevin C. & Dawson, Gregory S. & Chenok, Daniel, 2020. "Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector," Business Horizons, Elsevier, vol. 63(2), pages 205-213.
    3. Francis Fukuyama, 2013. "What Is Governance?," Working Papers 314, Center for Global Development.
    4. Gianluca MISURACA & Colin van Noordt, 2020. "AI Watch - Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU," JRC Research Reports JRC120399, Joint Research Centre.
    5. Kim, Eun-Sung, 2020. "Deep learning and principal–agent problems of algorithmic governance: The new materialism perspective," Technology in Society, Elsevier, vol. 63(C).
    6. Fatima, Samar & Desouza, Kevin C. & Dawson, Gregory S., 2020. "National strategic artificial intelligence plans: A multi-dimensional analysis," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 178-194.
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    Cited by:

    1. Michael Gerlich, 2024. "Public Anxieties About AI: Implications for Corporate Strategy and Societal Impact," Administrative Sciences, MDPI, vol. 14(11), pages 1-25, November.
    2. Atabek Atabekov, 2023. "Public Functions Implementation by Artificial Intelligence: Current Practices and Prospects for Common Measures within Particular Periods across Continents and Regions," Societies, MDPI, vol. 13(7), pages 1-24, July.
    3. Catalin Vrabie, 2023. "E-Government 3.0: An AI Model to Use for Enhanced Local Democracies," Sustainability, MDPI, vol. 15(12), pages 1-19, June.

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