Ethics of using artificial intelligence (AI) in veterinary medicine
Bibliographic Data
| ID | 20396604 |
|---|---|
| Authors | Simon Coghlan (0000-0002-6021-9878, Australian Research Council, corresponding author), Thomas Quinn (0000-0002-0553-7275), Thomas P Quinn (0000-0003-3163-579X, Australian Research Council) |
| Year | 2024 |
| Volume | 39 |
| Issue | 5 |
| Pages | 2337-2348 |
| Publication date | 2024-10-01 |
| Peer Reviewed | Yes |
| 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/s00146-023-01686-1 |
| OpenAlex | W4376137749 |
| Language | EN |
| Citations received | 2 |
| References cited | 86 |
This paper provides the first comprehensive analysis of ethical issues raised by artificial intelligence (AI) in veterinary medicine for companion animals. Veterinary medicine is a socially valued service, which, like human medicine, will likely be significantly affected by AI. Veterinary AI raises some unique ethical issues because of the nature of the client–patient–practitioner relationship, society’s relatively minimal valuation and protection of nonhuman animals and differences in opinion about responsibilities to animal patients and human clients. The paper examines how these distinctive features influence the ethics of AI systems that might benefit clients, veterinarians and animal patients—but also harm them. It offers practical ethical guidance that should interest ethicists, veterinarians, clinic owners, veterinary bodies and regulators, clients, technology developers and AI researchers
Animal ethics · Animal welfare · Biology · Engineering ethics · Harm · Human medicine · Political science · Traditional medicine · Veterinary medicine · Artificial Intelligence in Healthcare and Education · Autopsy Techniques and Outcomes · Engineering · Ethics in Clinical Research · Law · Medicine
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| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |