Automate, Assist, Avoid: Caseworkers’ Perspectives on Applying Large Language Model-Based Assistance in Public Sector Decision-Making Processes
Approved
Classifications
MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform
Publication channel information
Title of host publication
CHI '26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Editors of host publication
Oliver, Nuria; Shamma, David A.; Candello, Heloisa; Cesar, Pablo; Lopes, Pedro; Bozzon, Alessandro; Kosch, Thomas; Liao, Vera; Ma, Xiaojuan; Artizzu, Valentino; Draxler, Fiona; López, Gustavo; Reinschluessel, Anke V.; Tong, Xin; Toups Dugas, Phoebe O.
ISBN (electronic)
979-8-4007-2278-3
Name of conference
ACM SIGCHI annual conference on human factors in computing systems
Publisher
ACM
Publication forum ID
50105
Publication forum level
3
Publication appears in FT-list
No
Country of publication
United States
Internationality
Yes
Detailed publication information
Publication year
2026
Reporting year
2026
Page numbers
1-16
Article number
114
DOI
10.1145/3772318.3791045
Language of publication
English
Co-publication information
International co-publication
No
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences, 520 Other social sciences
Keywords
Caseworkers; Decision-making; Decision-Support; Large Language Models; Public Sector AI; Qualitative Studies
Funding information
Funding information in the publication
This work was supported by the Academy of Finland project Digital Inequality in Smart Cities, DISC (332143), the Strategic Research Council of Finland project Designing Inclusive and Trustworthy Digital Public Services for Migrants in Finland, Trust-M (353511), Research Council of Finland project Civic Agency in AI? Examining the AI Act and Democratizing Algorithmic Services in the Public Sector (357349) and the KONE Foundation project Citizen Agency in AI? Democratizing Algorithmic Services in the City.
Funders
Funder
Academy of Finland
Name of funding
-
Funding decision
332143
Funder
Strategic Research Council
Name of funding
-
Funding decision
353511
Funder
Academy of Finland
Name of funding
-
Funding decision
357349
Funder
Kone Foundation
Name of funding
-
Funding decision
-