How do citizens perceive the use of Artificial Intelligence in public sector decisions?
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
These concerns mirror findings from the United States, Norway, and the United Kingdom.
“These concerns mirror the findings from the United States (Zhang and Dafoe 2019), Norway (Schmager et al. 2024), and the United Kingdom (Haesevoets et al. 2024).”
From Accountability in Government Use of <scp>AI</scp> : Citizen Concerns and Preferences (2025) · cites this paper as Haesevoets et al. 2024
The citation lists haven’t been fetched yet
References 73 · Cited by 74
- Authors
- Haesevoets, T., Verschuere, B., Van Severen, R., & Roets, A.
- Affiliations
- Ghent University (BE)
- Corresponding author
- Haesevoets, Tessa
- Venue
- Government Information Quarterly
- Publisher
- Elsevier BV
- Published
- 2024-03
- Volume
- 41
- Issue
- 1
- Pages
- 101906
- ISSN
- 0740-624X (ISSN-L)
- OpenAlex
- W4390376062
- Cited by
- 74
- References
- 73
- Citations by year
- 2026: 40 · 2025: 25 · 2024: 9
- FWCI
- 18.56
- Type
- journal article
- Language
- en
- Open access
- green
- biblio.ugent.be
- Licence
- Locations
- Government Information Quarterly (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, public-domain)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Keywords
- artificial intelligence, public sector decision-making, citizen perceptions, legitimacy, human-AI collaboration, AI autonomy, public trust in government, British public opinion
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
