TY - JOUR
T1 - AI insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care
AU - Stern, Ariel
AU - Goldfarb, Avi
AU - Minssen, Timo
AU - Price II, William Nicholson
PY - 2022
Y1 - 2022
N2 - Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those related to liability. Well-designed AI liability insurance can mitigate predictable liability risks and uncertainties in a way that is aligned with the interests of health care’s main stakeholders, including patients, physicians, and health care organization leadership. A market for AI insurance will encourage the use of high-quality AI, because insurers will be most keen to underwrite those products that are demonstrably safe and effective. As such, well-designed AI insurance products are likely to reduce the uncertainty associated with liability risk for both manufacturers — including developers of software as a medical device — and clinician users and thereby increase innovation, competition, adoption, and trust in beneficial technological advances.
AB - Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those related to liability. Well-designed AI liability insurance can mitigate predictable liability risks and uncertainties in a way that is aligned with the interests of health care’s main stakeholders, including patients, physicians, and health care organization leadership. A market for AI insurance will encourage the use of high-quality AI, because insurers will be most keen to underwrite those products that are demonstrably safe and effective. As such, well-designed AI insurance products are likely to reduce the uncertainty associated with liability risk for both manufacturers — including developers of software as a medical device — and clinician users and thereby increase innovation, competition, adoption, and trust in beneficial technological advances.
U2 - 10.1056/CAT.21.0242
DO - 10.1056/CAT.21.0242
M3 - Journal article
VL - 3
JO - NEJM Catalyst Innovations in Care Delivery
JF - NEJM Catalyst Innovations in Care Delivery
SN - 2642-0007
IS - 4
ER -