Unite the study of AI in government
With a shared language and typology
Bibliographic Data
| ID | 20398227 |
|---|---|
| Authors | Vincent J Straub (0000-0003-3393-6027, Turing Institute, corresponding author), J Bright (0000-0002-1248-9275, Turing Institute) |
| Year | 2025 |
| Volume | 40 |
| Issue | 3 |
| Pages | 1531-1532 |
| Publication date | 2025-03-01 |
| 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/s00146-024-01933-z |
| OpenAlex | W4396695952 |
| Language | EN |
| References cited | 3 |
Art · Linguistics · Performing arts · Sociology · Typology · Visual arts · Anthropology · Big Data and Business Intelligence · Computer Science · Ethics and Social Impacts of AI · Philosophy · Psychology
| Highly cited | No |
|---|