Professor and medical ethicist at Emory University in Atlanta, Georgia.
AMA J Ethics. 2020 Nov 1;22(11):E945-951. doi: 10.1001/amajethics.2020.945.
Artificial intelligence (AI) applications have attracted considerable ethical attention for good reasons. Although AI models might advance human welfare in unprecedented ways, progress will not occur without substantial risks. This article considers 3 such risks: system malfunctions, privacy protections, and consent to data repurposing. To meet these challenges, traditional risk managers will likely need to collaborate intensively with computer scientists, bioinformaticists, information technologists, and data privacy and security experts. This essay will speculate on the degree to which these AI risks might be embraced or dismissed by risk management. In any event, it seems that integration of AI models into health care operations will almost certainly introduce, if not new forms of risk, then a dramatically heightened magnitude of risk that will have to be managed.
人工智能（AI）应用因其良好的原因引起了相当多的伦理关注。尽管 AI 模型可能以前所未有的方式促进人类福祉，但如果没有重大风险，就不会取得进展。本文考虑了 3 种此类风险：系统故障、隐私保护和数据重新使用的同意。为了应对这些挑战，传统的风险管理人员可能需要与计算机科学家、生物信息学家、信息技术人员以及数据隐私和安全专家密切合作。本文将推测这些 AI 风险在多大程度上可能被风险管理所接受或忽视。无论如何，似乎将 AI 模型集成到医疗保健业务中几乎肯定会引入风险，如果不是新的风险形式，那么也会引入风险程度大大增加，这将需要进行管理。
