The Danish Business Authority’s Approach to the Ongoing Evaluation of AI Systems
- ,
- Per Rådberg Nagbøl,
- Oliver Müller
- ,
- Paderborn University
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishArticle number
3Pages from-to (Number of pages)
Pages 137-150 (13 pages)Journal (Volume, Issue Number)
M I S Quarterly Executive (Volume 24, Issue 2)Publication milestones
- Published - 2025
Publication status
Published - 2025
ISSN
1540-1960Publication IDs
- Scopus: 105042670388
Abstract
AI systems that work as intended when first deployed may drift over time, making increasingly inaccurate or biased decisions. Organizations therefore need to ensure the proper ongoing functioning of their AI systems, especially as the world around these AI systems changes. In this article, we describe the strategies used by the Danish Business Authority, an early public-sector adopter of AI, to ensure the effective ongoing evaluation of AI systems and provide four recommendations for other organizations.
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