A bioethicist and a professor of medicine on regulating AI in health care

AI is already integral to diverse areas of medicine, with novel uses continuously possible. The potential benefits from AI in health care are vast, including more precise diagnosis, early disease detection, and cost effective care. However, matters such as protecting patients and their data, integrating AI into the daily clinical work of health care, and avoiding incorrect diagnoses, biased algorithms, and general depersonalization must be addressed on balance, and point to the importance of effective regulation.

Given the evolving need for guidance, Vayena and Morris highlight three broad principles:
Co-ordination – international collaborations could fill the current vacuum by handling such a global phenomenon as AI.
Adaptation – creating regulatory sandboxes for the pre-licensing phase of new applications of AI, along with provisions for AI algorithms to update automatically over time, for the best possible agility.
Accountability – building bridges between tech companies and health care systems, with transparency and public accountability, promoting greater understanding from both sides.

Well-balanced AI governance should boost both business and consumer protection, but will require flexibility and agility in order to flourish.

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external page Prof. Dr. Effy Vayena & Prof. Andrew Morris -A bioethicist and a professor of medicine on regulating AI in health care

Publication: The Economist
Publisher: The Economist Group Limited
Date: Feb 28, 2023