aceEthical and regulatory challenges of large language models in medicine
With the rapid growth of interest in and use of large language models (LLMs) across various industries, we are facing some crucial and profound ethical concerns, especially in the medical field. The unique technical architecture and purported emergent abilities of LLMs differentiate them substantially from other artificial intelligence (AI) models and natural language processing techniques used, necessitating a nuanced understanding of LLM ethics. In this Viewpoint, we highlight ethical concerns stemming from th…
Integration of large language models into medical practice creates ethical and regulatory risks including compromised data privacy and rights of use, unclear data provenance, and intellectual property contamination.
Evidence
- Peer-reviewedThe Lancet Digital Health2024-04-23
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Truvace Impact Record TRV-2026-0440, v1: “Ethical and regulatory challenges of large language models in medicine.” Truvace, 2026-07-20. /record/TRV-2026-0440 (accessed at citation time). sha256 fa7c4860e0146159…
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