Artificial Intelligence and Liability in Medicine: Balancing Safety and Innovation.
Milbank Q
; 99(3): 629-647, 2021 09.
Article
en En
| MEDLINE
| ID: mdl-33822422
ABSTRACT
Policy Points With increasing integration of artificial intelligence and machine learning in medicine, there are concerns that algorithm inaccuracy could lead to patient injury and medical liability. While prior work has focused on medical malpractice, the artificial intelligence ecosystem consists of multiple stakeholders beyond clinicians. Current liability frameworks are inadequate to encourage both safe clinical implementation and disruptive innovation of artificial intelligence. Several policy options could ensure a more balanced liability system, including altering the standard of care, insurance, indemnification, special/no-fault adjudication systems, and regulation. Such liability frameworks could facilitate safe and expedient implementation of artificial intelligence and machine learning in clinical care.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Inteligencia Artificial
/
Responsabilidad Legal
/
Atención a la Salud
/
Política de Salud
Límite:
Humans
Idioma:
En
Año:
2021
Tipo del documento:
Article