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The Danish Business Authority’s Approach to the Ongoing Evaluation of AI Systems

Oliver Krancher et al.

MIS Quarterly Executive2025https://doi.org/10.17705/2msqe.00113article
AJG 2ABDC A
Weight
0.50

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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https://doi.org/https://doi.org/10.17705/2msqe.00113

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@article{oliver2025,
  title        = {{The Danish Business Authority’s Approach to the Ongoing Evaluation of AI Systems}},
  author       = {Oliver Krancher et al.},
  journal      = {MIS Quarterly Executive},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.17705/2msqe.00113},
}

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The Danish Business Authority’s Approach to the Ongoing Evaluation of AI Systems

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.