RT Article
T1 Institutional factors driving citizen perceptions of AI ingovernment: evidence from a survey experiment on policing
JF Public administration review
VO 85
IS 2
SP 451
OP 467
A1 Schiff, Kaylyn Jackson
A1 Schiff, Daniel S.
A1 Adams, Ian T.
A1 McCrain, Joshua
A1 Mourtgos, Scott M.
A2 Schiff, Daniel S.
A2 Adams, Ian T.
A2 McCrain, Joshua
A2 Mourtgos, Scott M.
LA English
YR 2025
UL https://krimdok.uni-tuebingen.de/Record/1944962719
AB Law enforcement agencies are increasingly adopting artificial intelligence (AI)-powered tools. While prior work emphasizes the technological features drivingpublic opinion, we investigate how public trust and support for AI in governmentvary with the institutional context. We administer a pre-registered survey experi-ment to 4200 respondents about AI use cases in policing to measure responsive-ness to three key institutional factors: bureaucratic proximity (i.e., local sheriffversus national Federal Bureau of Investigation), algorithmic targets (i.e., public tar-gets via predictive policing versus detecting officer misconduct through auto-mated case review), and agency capacity (i.e., necessary resources and expertise).We find that the public clearly prefers local over national law enforcement use ofAI, while reactions to different algorithmic targets are more limited and politicized.However, we find no responsiveness to agency capacity or lack thereof. The find-ings suggest the need for greater scholarly, practitioner, and public attention toorganizational, not only technical, prerequisites for successful government imple-mentation of AI.
NO Literaturverzeichnis: Seite 465-467
DO 10.1111/puar.13754