Can AI help make California police policy human centered
Bibliographic Data
| ID | 20399075 |
|---|---|
| Authors | Catherine Nicole Coleman (0000-0002-3360-1975, Stanford University, corresponding author), Jiaju Liu (Stanford University), Chloe Kathryn Williams (University of California, Berkeley) |
| Year | 2025 |
| Volume | 40 |
| Issue | 7 |
| Pages | 5297-5314 |
| Publication date | 2025-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | AI & Society (JOURNAL) |
| Journal identifiers | ISSN: 0951-5666 • E-ISSN: 1435-5655 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00146-025-02298-7 |
| OpenAlex | W4409055338 |
| Language | EN |
| References cited | 27 |
Art · Criminology · Human trafficking · Performing arts · Political science · Public relations · Sociology · Visual arts · Computer Science · Crime Patterns and Interventions · Ethics and Social Impacts of AI · Privacy, Security, and Data Protection
Risk of being killed by police use of force in the United States by age, race–ethnicity, and sex
Quantifying the Gap
Uncommon voices of AI
From judgment to calculation
Why thinking about the tacit is key for shaping our AI futures
Feminist Epistemologies
Living In/difference; or, How to Imagine Ambivalent Networks
Militarization and police violence
Gender gap through time and space
Wikipedia's “Neutral Point of View”
Mapping the Margins
Do Officer-Involved Shootings Reduce Citizen Contact with Government
Wikidata as Semantic Infrastructure
| Highly cited | No |
|---|