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

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 architec...

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Detalles Bibliográficos
Autor: Schmitt, Lewin
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/49004
Acceso en línea:http://hdl.handle.net/10230/49004
http://dx.doi.org/10.1007/s43681-021-00083-y
Access Level:acceso abierto
Palabra clave:Global governance
Artifcial intelligence
Global AI governance
AI policy
AI ethics
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spelling Mapping global AI governance: a nascent regime in a fragmented landscapeSchmitt, LewinGlobal governanceArtifcial intelligenceGlobal AI governanceAI policyAI ethicsThe 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.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).Springer202120212022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/49004http://dx.doi.org/10.1007/s43681-021-00083-yreponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésAI Ethics. 2022 May;2(2):303-14info:eu-repo/grantAgreement/EC/H2020/822654This 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.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/490042026-06-12T07:21:37Z
dc.title.none.fl_str_mv Mapping global AI governance: a nascent regime in a fragmented landscape
title Mapping global AI governance: a nascent regime in a fragmented landscape
spellingShingle Mapping global AI governance: a nascent regime in a fragmented landscape
Schmitt, Lewin
Global governance
Artifcial intelligence
Global AI governance
AI policy
AI ethics
title_short Mapping global AI governance: a nascent regime in a fragmented landscape
title_full Mapping global AI governance: a nascent regime in a fragmented landscape
title_fullStr Mapping global AI governance: a nascent regime in a fragmented landscape
title_full_unstemmed Mapping global AI governance: a nascent regime in a fragmented landscape
title_sort Mapping global AI governance: a nascent regime in a fragmented landscape
dc.creator.none.fl_str_mv Schmitt, Lewin
author Schmitt, Lewin
author_facet Schmitt, Lewin
author_role author
dc.subject.none.fl_str_mv Global governance
Artifcial intelligence
Global AI governance
AI policy
AI ethics
topic Global governance
Artifcial intelligence
Global AI governance
AI policy
AI ethics
description 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.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/49004
http://dx.doi.org/10.1007/s43681-021-00083-y
url http://hdl.handle.net/10230/49004
http://dx.doi.org/10.1007/s43681-021-00083-y
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv AI Ethics. 2022 May;2(2):303-14
info:eu-repo/grantAgreement/EC/H2020/822654
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
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