TY - JOUR
T1 - Role of the state and responsibility in governing artificial intelligence
T2 - a comparative analysis of AI strategies
AU - Djeffal, Christian
AU - Siewert, Markus B.
AU - Wurster, Stefan
N1 - Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - Technologies based on artificial intelligence (AI) represent a crucial governance challenge for policymakers. This study contributes to the understanding of how states plan to govern AI with respect to the role they assume and to the way they develop AI in a responsible manner. In different policy instruments across 22 countries plus the European Union, there is considerable variation in how governments approach the governance of AI, both regarding the policy measures proposed and their focus on public responsibility. Analysing a set of policy instruments we find multiple modes of AI governance, with the major difference being between self-regulation-promoting and market-based approaches, and a combination of entrepreneurial and regulatory governance approaches. Our analysis also indicates that the approach to public responsibility is largely independent of the chosen policy mix of AI governance. Therefore, responsibility seems to be a cross-cutting issue that cannot be tied to a specific approach of states towards technology.
AB - Technologies based on artificial intelligence (AI) represent a crucial governance challenge for policymakers. This study contributes to the understanding of how states plan to govern AI with respect to the role they assume and to the way they develop AI in a responsible manner. In different policy instruments across 22 countries plus the European Union, there is considerable variation in how governments approach the governance of AI, both regarding the policy measures proposed and their focus on public responsibility. Analysing a set of policy instruments we find multiple modes of AI governance, with the major difference being between self-regulation-promoting and market-based approaches, and a combination of entrepreneurial and regulatory governance approaches. Our analysis also indicates that the approach to public responsibility is largely independent of the chosen policy mix of AI governance. Therefore, responsibility seems to be a cross-cutting issue that cannot be tied to a specific approach of states towards technology.
KW - AI governance
KW - Artificial intelligence
KW - policy instruments
KW - responsible research innovation
KW - state types
KW - technology assessment
UR - http://www.scopus.com/inward/record.url?scp=85135273400&partnerID=8YFLogxK
U2 - 10.1080/13501763.2022.2094987
DO - 10.1080/13501763.2022.2094987
M3 - Article
AN - SCOPUS:85135273400
SN - 1350-1763
VL - 29
SP - 1799
EP - 1821
JO - Journal of European Public Policy
JF - Journal of European Public Policy
IS - 11
ER -