期刊
JOURNAL OF MEDICAL INTERNET RESEARCH
卷 21, 期 10, 页码 -出版社
JMIR PUBLICATIONS, INC
DOI: 10.2196/16222
关键词
artificial intelligence; machine learning; medical informatics; digital health; ehealth; chatbots; conversational agents
资金
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care Oxford at Oxford Health National Health Service Foundation Trust
Over the next decade, one issue which will dominate sociotechnical studies in health informatics is the extent to which the promise of artificial intelligence in health care will be realized, along with the social and ethical issues which accompany it. A useful thought experiment is the application of the Turing test to user-facing artificial intelligence systems in health care. In this paper I argue that many medical decisions require value judgements and the doctor-patient relationship requires empathy and understanding to arrive at a shared decision, often handling large areas of uncertainty and balancing competing risks. Arguably, medicine requires wisdom more than intelligence, artificial or otherwise. Artificial intelligence therefore needs to supplement rather than replace medical professionals, and identifying the complementary positioning of artificial intelligence in medical consultation is a key challenge for the future. In health care, artificial intelligence needs to pass the implementation game, not the imitation game.
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