Ethics, Artificial Intelligence, and Radiology.
J Am Coll Radiol. 2018 Sep;15(9):1317-1319. doi: 10.1016/j.jacr.2018.05.020. Epub 2018 Jul 14.
Kohli M1, Geis R2.
The rapid evolution of autonomous and intelligent systems in radiology that make predictions and drive actions independent of direct human oversight is reason for the ACR to investigate the ethics and code of behavior for computers and artificial intelligence in radiology. Both radiologists and these autonomous and intelligent systems have a duty to follow rules and principles that result in the best outcomes for patients. Ethical issues of these systems can be described as moral problems related to three categories : • data, including generation, recording, curation, processing, dissemination, sharing, and use; • algorithms, including artificial intelligence, artificial agents, machine learning, and deep learning; and • practices, including responsible innovation, programming, hacking, and professional codes to formulate and support morally good solutions. We will use these categories to highlight examples of ethical issues for radiology and artificial intelligence.