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Steering the governance of artificial intelligence: national strategies in perspective
[AI ethics guidelines inventory]

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  • Roxana Radu

Abstract

As more and more governments release national strategies on artificial intelligence (AI), their priorities and modes of governance become more clear. This study proposes the first comprehensive analysis of national approaches to AI from a hybrid governance perspective, reflecting on the dominant regulatory discourses and the (re)definition of the public-private ordering in the making. It analyses national strategies released between 2017 and 2019, uncovering the plural institutional logics at play and the public-private interaction in the design of AI governance, from the drafting stage to the creation of new oversight institutions. Using qualitative content analysis, the strategies of a dozen countries (as diverse as Canada and China) are explored to determine how a hybrid configuration is set in place. The findings show a predominance of ethics-oriented rather than rule-based systems and a strong preference for functional indetermination as deliberate properties of hybrid AI governance.

Suggested Citation

  • Roxana Radu, 2021. "Steering the governance of artificial intelligence: national strategies in perspective [AI ethics guidelines inventory]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 178-193.
    • Handle: RePEc:oup:polsoc:v:40:y:2021:i:2:p:178-193.
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    File URL: http://hdl.handle.net/10.1080/14494035.2021.1929728
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    References listed on IDEAS

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    1. Royston Greenwood & Amalia Magán Díaz & Stan Xiao Li & José Céspedes Lorente, 2010. "The Multiplicity of Institutional Logics and the Heterogeneity of Organizational Responses," Organization Science, INFORMS, vol. 21(2), pages 521-539, April.
    2. Hans B. Thorelli, 1986. "Networks: Between markets and hierarchies," Strategic Management Journal, Wiley Blackwell, vol. 7(1), pages 37-51, January.
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    Cited by:

    1. Palladino, Nicola, 2023. "A ‘biased’ emerging governance regime for artificial intelligence? How AI ethics get skewed moving from principles to practices," Telecommunications Policy, Elsevier, vol. 47(5).
    2. Plantinga, Paul & Shilongo, Kristophina & Mudongo, Oarabile & Umubyeyi, Angelique & Gastrow, Michael & Razzano, Gabriella, 2023. "Responsible artificial intelligence in Africa: Towards policy learning," SocArXiv jyhae, Center for Open Science.
    3. Carl Gahnberg, 2021. "What rules? Framing the governance of artificial agency [The wrong kind of AI? Artificial intelligence and the future of labour demand]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 194-210.
    4. Vasiliki Koniakou, 2023. "From the “rush to ethics” to the “race for governance” in Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(1), pages 71-102, February.
    5. Kira Allmann & Roxana Radu, 2023. "Digital footprints as barriers to accessing e‐government services," Global Policy, London School of Economics and Political Science, vol. 14(1), pages 84-94, February.
    6. Nicole Lemke & Philipp Trein & Frédéric Varone, 2023. "Agenda-setting in nascent policy subsystems: issue and instrument priorities across venues," Policy Sciences, Springer;Society of Policy Sciences, vol. 56(4), pages 633-655, December.
    7. Jonas Tallberg & Eva Erman & Markus Furendal & Johannes Geith & Mark Klamberg & Magnus Lundgren, 2023. "The Global Governance of Artificial Intelligence: Next Steps for Empirical and Normative Research," Papers 2305.11528, arXiv.org.

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