Mapping global AI governance: a nascent regime in a fragmented landscape

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• dc.contributor.author Schmitt, Lewin
• dc.date.accessioned 2021-11-17T11:12:48Z
• dc.date.available 2021-11-17T11:12:48Z
• dc.date.issued 2022
• dc.description.abstract The rapid advances in the development and rollout of artificial intelligence (AI) technologies over the past years have triggered a frenzy of regulatory initiatives at various levels of government and the private sector. This article describes and evaluates the emerging global AI governance architecture and traces the contours of a nascent regime in a fragmented landscape. To do so, it organizes actors and initiatives in a two-by-two matrix, distinguishing between the nature of the driving actor(s) and whether or not their actions take place within the existing governance architecture. Based on this, it provides an overview of key actors and initiatives, highlighting their trajectories and connections. The analysis shows international organizations’ high levels of agency in addressing AI policy and a tendency to address new challenges within existing frameworks. Lastly, it is argued that we are witnessing the first signs of consolidation in this fragmented landscape. The nascent AI regime that emerges is polycentric and fragmented but gravitates around the Organisation for Economic Co-Operation and Development (OECD), which holds considerable epistemic authority and norm-setting power.
• dc.description.sponsorship The author has received funding from the European Union’s Horizon 2020 Research & Innovation programme under Grant Agreement no. 822654: Global Governance and the European Union: Future Trends and Scenarios (GLOBE).
• dc.format.mimetype application/pdf
• dc.identifier.citation Schmitt L. Mapping global AI governance: a nascent regime in a fragmented landscape. AI Ethics. 2022 May;2(2):303-14. DOI: 10.1007/s43681-021-00083-y
• dc.identifier.doi http://dx.doi.org/10.1007/s43681-021-00083-y
• dc.identifier.issn 2690-1633
• dc.identifier.uri http://hdl.handle.net/10230/49004
• dc.language.iso eng
• dc.publisher Springer
• dc.relation.ispartof AI Ethics. 2022 May;2(2):303-14
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/822654
• dc.rights This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Global governance
• dc.subject.keyword Artifcial intelligence
• dc.subject.keyword Global AI governance
• dc.subject.keyword AI policy
• dc.subject.keyword AI ethics
• dc.title Mapping global AI governance: a nascent regime in a fragmented landscape
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion