AIMC Topic: Liability, Legal
Clear Filters Showing 21 to 30 of 49 articles
Artificial Intelligence and Liability in Medicine: Balancing Safety and Innovation.
The Milbank quarterly
Apr 6, 2021
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 malpractic...
A New Argument for No-Fault Compensation in Health Care: The Introduction of Artificial Intelligence Systems.
Health care analysis : HCA : journal of health philosophy and policy
Mar 21, 2021
Artificial intelligence (AI) systems advising healthcare professionals will be widely introduced into healthcare settings within the next 5-10 years. This paper considers how this will sit with tort/negligence based legal approaches to compensation f...
How Much Can Potential Jurors Tell Us About Liability for Medical Artificial Intelligence?
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Nov 6, 2020
When Does Physician Use of AI Increase Liability?
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Sep 25, 2020
An increasing number of automated and artificial intelligence (AI) systems make medical treatment recommendations, including personalized recommendations, which can deviate from standard care. Legal scholars argue that following such nonstandard trea...
Intelligent, Autonomous Machines in Surgery.
The Journal of surgical research
Apr 24, 2020
Surgeons perform two primary tasks: operating and engaging patients and caregivers in shared decision-making. Human dexterity and decision-making are biologically limited. Intelligent, autonomous machines have the potential to augment or replace surg...
Lessons Learned About Autonomous AI: Finding a Safe, Efficacious, and Ethical Path Through the Development Process.
American journal of ophthalmology
Mar 12, 2020
Artificial intelligence (AI) describes systems capable of making decisions of high cognitive complexity; autonomous AI systems in healthcare are AI systems that make clinical decisions without human oversight. Such rigorously validated medical diagno...
Artificial intelligence: Who is responsible for the diagnosis?
La Radiologia medica
Jan 31, 2020
The aim of the paper is to find an answer to the question "Who or what is responsible for the benefits and harms of using artificial intelligence in radiology?" When human beings make decisions, the action itself is normally connected with a direct r...
Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.
Science and engineering ethics
Feb 14, 2019
Artificial intelligence (AI) research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI t...
Are Current Tort Liability Doctrines Adequate for Addressing Injury Caused by AI?
AMA journal of ethics
Feb 1, 2019
As capabilities of predictive algorithms improve, machine learning will become an important element of physician practice and patient care. Implementation of artificial intelligence (AI) raises complex legal questions regarding health care profession...
How I learned to stop worrying and love machine learning.
Clinics in dermatology
Jun 8, 2018
Artificial intelligence and its machine learning (ML) capabilities are very promising technologies for dermatology and other visually oriented fields due to their power in pattern recognition. Understandably, many physicians distrust replacing clinic...
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