ETHOS: Towards a Modular Ethics Framework for Clinical Multi-Agent Systems
The rapid adoption of large language models has enabled the development of clinical multi-agent systems (MAS) capable of integrating multimodal patient data and supporting increasingly complex clinical decision-making. However, the deployment of these systems in real-world healthcare settings raises critical ethical concerns related to safety, fairness, accountability, transparency, and patient trust. While numerous organizations, including the World Health Organization, the National Academy of Medicine, and the FUTURE-AI consortium, have proposed ethical frameworks and governance principles for healthcare AI, these efforts remain largely conceptual. To address this challenge, we present ...
| Authors | Rakesh Sharma, Sydney Pugh, Cameron Beeche et al. |
|---|---|
| Primary category | cs.MA |
| Published | 15 August 2026 |
| Last updated at source | 11 September 2026 |
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