Further remarks on testimonial injustice in medical machine learning
A response to commentaries
Bibliographic Data
| ID | 21514396 |
|---|---|
| Authors | Giorgia Pozzi (0000-0001-8928-5513, Delft University of Technology, corresponding author) |
| Year | 2023 |
| Volume | 49 |
| Issue | 8 |
| Pages | 551-552 |
| Publication date | 2023-08-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Medical Ethics (JOURNAL) |
| Journal identifiers | ISSN: 0306-6800 • E-ISSN: 1473-4257 |
| Publisher | BMJ (PUBLISHER • GB) |
| DOI | 10.1136/jme-2023-109302 |
| PMID | 37308279 |
| OpenAlex | W4380304050 |
| Language | EN |
| Citations received | 1 |
| References cited | 8 |
Beneficence · Data science · Injustice · Political science · Testimonial · Artificial Intelligence in Healthcare and Education · Computer Science · Ethics in Clinical Research · Ethics in medical practice · Law · Psychology · Social Psychology
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |