Medical triage as an AI ethics benchmark
Abstract We present the TRIAGE benchmark, a novel machine ethics benchmark designed to evaluate the ethical decision-making abilities of large language models (LLMs) in mass casualty scenarios. TRIAGE uses medical dilemmas created by healthcare professionals to evaluate the ethical decision-making o...
Saved in:
| Main Authors: | Nathalie Maria Kirch, Konstantin Hebenstreit, Matthias Samwald |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-16716-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pilot study of ASSORT (AI-based Symptom Stratification in Ophthalmology for Rapid Triage): a triage tool for ophthalmic emergencies
by: Claudio Xompero, et al.
Published: (2025-10-01) -
Harnessing multilingual AI triage to relieve Africa's strained health systems
by: Nwachukwu Prosper Kelechi, MBBS, et al.
Published: (2025-08-01) -
The Quandaries of the Principle of Triage
by: D. Knapp van Bogaert, et al.
Published: (2005-03-01) -
AI AND ETHICS. THE CASE OF REFUGEES
by: Samuel MIREUȚĂ
Published: (2024-05-01) -
The ethics of AI value chains
by: Blair Attard-Frost, et al.
Published: (2025-06-01)