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Artificial Intelligence and Liability in Medicine: Balancing Safety and Innovation

Expiry Date
: None
CPD Units
: 3.00 Points
Rating
: Not yet rated.

This article examines the larger ecosystem of AI/ML liability and its role in ensuring both safe implementation and innovation in clinical care.

Keywords: Machine learning, artificial intelligence, liability, malpractice

Reading material:

Educational Objectives

Educational Aim:

The aim of this article is to examine the larger ecosystem of AI/ML liability and its role in ensuring both safe implementation and innovation in clinical care.

Educational Outcomes:
Upon completion of this module practitioners should have a clear understanding of:

  1. Algorithm inaccuracy could lead to patient injury and medical liability. 
  2. Current liability frameworks are inadequate to encourage both safe clinical implementation and disruptive innovation of artificial intelligence. 
  3. Several policy options could ensure a more balanced liability system facilitating safe and expedient implementation of artificial intelligence and machine learning in clinical care

Instructions for this Module

  • Read the supplied reading material and complete the quiz that follows;
  • You have three attempts to pass the quiz;
  • The pass grade is 70%;
  • You need to pass the quiz to claim your CPD certificate;
  • Please click on the CPD certificate link below to claim your CPD certificate and to update your CPD Manager.

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