Challenges and design principles for the evaluation of productive AI systems in the public sector

Per Rådberg Nagbøl; Oliver Krancher; Oliver Müller

doi:10.4337/9781802207347

Challenges and design principles for the evaluation of productive AI systems in the public sector

Per Rådberg Nagbøl, Oliver Krancher, Oliver Müller

Research output: Conference Article in Proceeding or Book/Report chapter › Book chapter › Research › peer-review

Original language	English
Title of host publication	Research Handbook on Public Management and Artificial Intelligence Research Handbook on Public Management and Artificial Intelligence
Editors	Yannis Charalabidis, Rony Medaglia, Colin van Noordt
Place of Publication	Edward Elgar
Publication date	13 Feb 2024
Pages	245–262
Chapter	14
ISBN (Print)	9781802207330
ISBN (Electronic)	9781802207347
DOIs	https://doi.org/10.4337/9781802207347 https://doi.org/10.4337/9781802207347.00025
Publication status	Published - 13 Feb 2024

Series	Elgar Handbooks in Public Administration and Management

Keywords

Artificial intelligence
Evaluation
Government
Control
Maintenance
Machine Learning

Access to Document

Challenges and Design Principles for the Evaluation of Productive AI Systems in the Public Sector - Accepted ManuscriptAccepted author manuscript, 473 KBLicence: Unspecified

https://www.elgaronline.com/edcollbook/book/9781802207347/9781802207347.xml

1 Other contribution

X-RAI: A Framework for a Transparent, Explainable, Responsible, and Accurate Use of Artificial Intelligence
Nagbøl, P. R., Krancher, O. & Müller, O., 2024, 24 p.
Research output: Other contribution › Research

Open Access
File

1 Active

When AI goes live: Managing AI risks during maintenance
Krancher, O. (PI) & Nagbøl, P. R. (CoI)
Danish Business Authority
01/05/2022 → 28/02/2025
Project: Research

Cite this

Nagbøl, P. R., Krancher, O., & Müller, O. (2024). Challenges and design principles for the evaluation of productive AI systems in the public sector. In Y. Charalabidis, R. Medaglia, & C. van Noordt (Eds.), Research Handbook on Public Management and Artificial Intelligence Research Handbook on Public Management and Artificial Intelligence (pp. 245–262). https://doi.org/10.4337/9781802207347, https://doi.org/10.4337/9781802207347.00025

Nagbøl, Per Rådberg ; Krancher, Oliver ; Müller, Oliver. / Challenges and design principles for the evaluation of productive AI systems in the public sector. Research Handbook on Public Management and Artificial Intelligence Research Handbook on Public Management and Artificial Intelligence. editor / Yannis Charalabidis ; Rony Medaglia ; Colin van Noordt. Edward Elgar, 2024. pp. 245–262 (Elgar Handbooks in Public Administration and Management).

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Nagbøl, PR, Krancher, O & Müller, O 2024, Challenges and design principles for the evaluation of productive AI systems in the public sector. in Y Charalabidis, R Medaglia & C van Noordt (eds), Research Handbook on Public Management and Artificial Intelligence Research Handbook on Public Management and Artificial Intelligence. Edward Elgar, Elgar Handbooks in Public Administration and Management, pp. 245–262. https://doi.org/10.4337/9781802207347, https://doi.org/10.4337/9781802207347.00025

Challenges and design principles for the evaluation of productive AI systems in the public sector. / Nagbøl, Per Rådberg; Krancher, Oliver; Müller, Oliver.
Research Handbook on Public Management and Artificial Intelligence Research Handbook on Public Management and Artificial Intelligence. ed. / Yannis Charalabidis; Rony Medaglia; Colin van Noordt. Edward Elgar, 2024. p. 245–262 (Elgar Handbooks in Public Administration and Management).

Research output: Conference Article in Proceeding or Book/Report chapter › Book chapter › Research › peer-review

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Nagbøl PR, Krancher O, Müller O. Challenges and design principles for the evaluation of productive AI systems in the public sector. In Charalabidis Y, Medaglia R, van Noordt C, editors, Research Handbook on Public Management and Artificial Intelligence Research Handbook on Public Management and Artificial Intelligence. Edward Elgar. 2024. p. 245–262. (Elgar Handbooks in Public Administration and Management). doi: 10.4337/9781802207347, 10.4337/9781802207347.00025

Challenges and design principles for the evaluation of productive AI systems in the public sector

Keywords

Access to Document

Research output

X-RAI: A Framework for a Transparent, Explainable, Responsible, and Accurate Use of Artificial Intelligence

Projects

When AI goes live: Managing AI risks during maintenance

Cite this