AI-powered systems for healthcare:

好处： fast； personalized； reduce costs

挑战： complex organizational changes； long-term social consequences

Sociotechnical challenges include the potential for biased algorithms that benefit certain subgroups of patient populations (e.g., using race to predict treatments in the presence of health disparities), effects on patient–clinician communication, the need for new skills and workflows to practice medicine, and perceptions and anxieties about people’s future role within medicine (e.g., whether image recognition systems perform better than radiologists).

因此，我们不仅要考虑算法等技术问题，也要考虑normative, regulatory, and ethical challenges 以及其他 potential negative effects of AI on society

本文还给出了一些讨论的问题：

人机关系； 人对机器的信任问题