医学
透明度(行为)
一致性(知识库)
责任
互联网隐私
计算机安全
人工智能
法学
政治学
计算机科学
作者
Jiawen Deng,Areeba Zubair,Ye‐Jean Park,Eesha Affan,Qi Zuo
标识
DOI:10.1080/03007995.2023.2295411
摘要
Large language models, like ChatGPT and Bard, have potential clinical applications due to their ability to generate conversational responses and encode medical knowledge. However, their clinical adoption faces challenges including hallucinations, lack of transparency, and lack of consistency. Ethicolegal concerns surrounding patient consent, legal liability, and data privacy further complicate matters. Despite their promise, an optimistic but cautious approach is essential for the safe integration of large language models into clinical settings.
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