Ethical and regulatory challenges of large language models in medicine
National University of Singapore · Singapore General Hospital · +22 more institutions
Abstract
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 the perspectives of users, developers, and regulators, notably focusing on data privacy and rights of use, data provenance, intellectual property contamination, and broad applications and plasticity of…
Citation impact
- FWCI
- 27.67
- Percentile
- 100%
- References
- 28
Authors
11- JCJasmine Chiat Ling Ong
National University of Singapore, Singapore General Hospital, Duke-NUS Medical School, National University Hospital
- YCYin‐Hsi Chang
Chang Gung University, Chang Gung Memorial Hospital, Linkou Chang Gung Memorial Hospital
- WWWilliam Wasswa
Mbarara University of Science and Technology
- AJAtul J. Butte
University of California, San Francisco, University of California System
- NHNigam H. Shah
Stanford Health Care, Stanford Medicine, Stanford University
Topics & keywords
- Engineering ethics
- Medicine
- Business
- Engineering