Empathy and Equity: Key Considerations for Large Language Model Adoption in Health Care

Abstract

The growing presence of large language models (LLMs) in health care applications holds significant promise for innovative advancements in patient care. However, concerns about ethical implications and potential biases have been raised by various stakeholders. Here, we evaluate the ethics of LLMs in medicine along 2 key axes: empathy and equity. We outline the importance of these factors in novel models of care and develop frameworks for addressing these alongside LLM deployment.

Keywords: AI; ChatGPT; LLMs; artificial intelligence; bias; care; development; empathy; equity; ethical implication; ethics; framework; health care application; language model; large language models; model; patient care.