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To govern or be governed: an integrated framework for AI governance in the public sector
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Publication Year
2023-12-01
Publisher
Oxford University Press
Citation
Science and Public Policy, Vol.50, pp.1059-1072
Keyword
AIAI governanceDelphiIT governanceone-page matrix
All Science Classification Codes (ASJC)
Geography, Planning and DevelopmentPublic AdministrationManagement, Monitoring, Policy and Law
Abstract
There has been a significantly increased amount of literature on various aspects of artificial intelligence (AI), but research on AI governance has been a considerably underdeveloped area. This study proposes a comprehensive framework for designing AI governance in the public sector to overcome the limitations of previous studies that primarily dealt with the fragmentary aspect of AI. Also, we applied the developed framework to the case of Korea by combining it with the rank-order survey questions that target experts. This case study presents how to use the framework and provides insight for other countries.
ISSN
0302-3427
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33856
DOI
https://doi.org/10.1093/scipol/scad045
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Type
Article
Funding
This work was supported by the Ministry of Education, Republic of Korea (grant no. NRF-2021S1A5A8065886).
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Park, Min Jae  Image
Park, Min Jae 박민재
Department of Business Intelligence
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