AI Model Design and Physician Liability
Clinical algorithms can perform differently across patient groups, a concern that grows as these algorithms increasingly take the form of artificial intelligence (AI) models. In the United States, a 2024 federal rule bars healthcare providers that receive federal funds from discriminating through their use of clinical algorithms, which exposes them to liability when such use disadvantages a protected patient group. We examine how such liability considerations reshape (i) an AI firm's model design decisions that drive group-specific accuracy and (ii) a physician's decisions to use AI in healthcare delivery. The firm designs an AI model for two patient groups, and improving accuracy for the...
| Authors | Shujie Luan, Shubhranshu Singh, Tinglong Dai |
|---|---|
| Primary category | cs.AI |
| Published | 12 August 2026 |
| Last updated at source | 10 October 2026 |
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