AI in Digital Health: Autonomy, Governance, and Privacy
What impact will AI systems have on biomedical research, especially in the context of large-scale data sharing and confidentiality?

What impact will AI systems have on biomedical research, especially in the context of large-scale data sharing and confidentiality?
Health systems are hoping to leverage the know-how of tech titans to unlock the potential of their treasure troves of data.
Resource allocation algorithms have received less regulatory attention than clinical decision-making algorithms, but nevertheless pose similar concerns.
Medical associations, health systems, and policymakers must work together to identify and remove racist algorithms from clinical practice.
Researchers will need to consider when it is appropriate to leverage AI, versus when a human touch is needed.
The challenges of completing real-world performance review should not slow the FDA’s plans to regulate clinical algorithms.
The argument that Facebook’s suicide prediction algorithm should be subject to the same regulatory regime as medicine and digital health is misguided and alarmist.
By Frank Pasquale, Professor of Law, University of Maryland Carey School of Law Many thanks to Amanda for the opportunity to post as a guest in this symposium. I was thinking more about neuroethics half a decade ago, and my scholarly agenda has, since then, focused mainly on algorithms, automation, and health IT. But there…