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

Paderborn University

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Bidrag til bog/antologi › Forskning › peer review

Originalsprog	Engelsk
Titel	Research Handbook on Public Management and Artificial Intelligence Research Handbook on Public Management and Artificial Intelligence
Redaktører	Yannis Charalabidis, Rony Medaglia, Colin van Noordt
Udgivelsessted	Edward Elgar
Publikationsdato	13 feb. 2024
Sider	245–262
Kapitel	14
ISBN (Trykt)	9781802207330
ISBN (Elektronisk)	9781802207347
DOI	https://doi.org/10.4337/9781802207347 https://doi.org/10.4337/9781802207347.00025
Status	Udgivet - 13 feb. 2024

Navn	Elgar Handbooks in Public Administration and Management

Emneord

Artificial intelligence
Evaluation
Government
Control
Maintenance
Machine Learning

Adgang til dokumentet

Challenges and Design Principles for the Evaluation of Productive AI Systems in the Public Sector - Accepted ManuscriptAccepteret manuskript, 473 KBLicens: Ikke-specificeret

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

1 Andet bidrag

X-RAI: A Framework for a Transparent, Explainable, Responsible, and Accurate Use of Artificial Intelligence
Nagbøl, P. R., Krancher, O. & Müller, O., 2024, 24 s.
Publikation: Andet › Andet bidrag › Forskning

Åben adgang
Fil

1 Afsluttet

When AI goes live: Managing AI risks during maintenance
Krancher, O. (PI) & Nagbøl, P. R. (CoI)
Erhvervsstyrelsen
01/05/2022 → 31/10/2024
Projekter: Projekt › Forskning

Citationsformater

Nagbøl, P. R., Krancher, O., & Müller, O. (2024). Challenges and design principles for the evaluation of productive AI systems in the public sector. I Y. Charalabidis, R. Medaglia, & C. van Noordt (red.), Research Handbook on Public Management and Artificial Intelligence Research Handbook on Public Management and Artificial Intelligence (s. 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. red. / Yannis Charalabidis ; Rony Medaglia ; Colin van Noordt. Edward Elgar, 2024. s. 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. i Y Charalabidis, R Medaglia & C van Noordt (red), 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, s. 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. red. / Yannis Charalabidis; Rony Medaglia; Colin van Noordt. Edward Elgar, 2024. s. 245–262 (Elgar Handbooks in Public Administration and Management).

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Bidrag til bog/antologi › Forskning › peer review

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KW - Control

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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. I Charalabidis Y, Medaglia R, van Noordt C, red., Research Handbook on Public Management and Artificial Intelligence Research Handbook on Public Management and Artificial Intelligence. Edward Elgar. 2024. s. 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

Emneord

Adgang til dokumentet

Publikation

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

Projekter

When AI goes live: Managing AI risks during maintenance

Citationsformater