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

Oliver Krancher; Per Rådberg Nagbøl; Oliver Müller

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

Oliver Krancher
, Per Rådberg Nagbøl
, Oliver Müller

Digital Business Innovation

Paderborn University

Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review

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.

Original language	English
Article number	3
Journal	M I S Quarterly Executive
Volume	24
Issue number	2
Pages (from-to)	137-150
Number of pages	13
ISSN	1540-1960
Publication status	Published - 2025

Keywords

AI
AI Governance
Responsible AI
AI Evaluation

Access to Document

https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1628&context=misqeLicence: Unspecified

When AI goes live: Managing AI risks during maintenance
Krancher, O. (PI) & Nagbøl, P. R. (CoI)
Danish Business Authority
01/05/2022 → 31/10/2024
Project: Research

Cite this

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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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AB - 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.

KW - AI

KW - AI Governance

KW - Responsible AI

KW - AI Evaluation

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

Abstract

Keywords

Access to Document

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Projects

When AI goes live: Managing AI risks during maintenance

Cite this