Department of Philosophy and Center for Ethics and Policy, Carnegie Mellon University, Pittsburgh, PA 15228, USA.
Cell Rep Med. 2022 May 17;3(5):100622. doi: 10.1016/j.xcrm.2022.100622. Epub 2022 Apr 27.
There is considerable enthusiasm about the prospect that artificial intelligence (AI) will help to improve the safety and efficacy of health services and the efficiency of health systems. To realize this potential, however, AI systems will have to overcome structural problems in the culture and practice of medicine and the organization of health systems that impact the data from which AI models are built, the environments into which they will be deployed, and the practices and incentives that structure their development. This perspective elaborates on some of these structural challenges and provides recommendations to address potential shortcomings.
人们对于人工智能（AI）有望提高卫生服务的安全性和有效性以及卫生系统的效率抱有极大的热情。然而，为了实现这一潜力，人工智能系统将不得不克服医学文化和实践以及卫生系统组织中存在的结构性问题，这些问题会影响到人工智能模型所构建的数据、它们将被部署的环境，以及构建其发展的实践和激励措施。本文从一些结构性挑战出发，并提供了一些建议来解决潜在的缺陷。
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