Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

Этика искусственного интеллекта в радиологии: краткое изложение совместного заявления многопрофильных обществ из Европы и Северной Америки
William Shields, J. Raymond Geis, Adrian P. Brady, Carol C. Wu, Jack Spencer, Erik Ranschaert, Jacob L. Jaremko, Andrea Borondy Kitts, R. van den Hoven van Genderen, Elmar Kotter, Judy Wawira Gichoya, Tessa S. Cook, Matthew B. Morgan, An Tang, Nabile Safdar, Marc Kohli, Steve G. Langer, Judy Birch
2019-10-01

AI bias and systemic errorsaccountability of human designers and operatorsethics of artificial intelligence in radiologytransparency and dependability
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and American Association of Physicists in Medicine.AI has great potential to increase efficiency and accuracy throughout radiology, but also carries inherent pitfalls and biases. Widespread use of AI-based intelligent and autonomous systems in radiology can increase the risk of systemic errors with high consequence, and highlights complex ethical and societal issues. Currently, there is little experience using AI for patient care in diverse clinical settings. Extensive research is needed to understand how to best deploy AI in clinical practice.This statement highlights our consensus that ethical use of AI in radiology should promote well-being, minimize harm, and ensure that the benefits and harms are distributed among stakeholders in a just manner. We believe AI should respect human rights and freedoms, including dignity and privacy. It should be designed for maximum transparency and dependability. Ultimate responsibility and accountability for AI remains with its human designers and operators for the foreseeable future.The radiology community should start now to develop codes of ethics and practice for AI which promote any use that helps patients and the common good and should block use of radiology data and algorithms for financial gain without those two attributes.
1
AI in radiology has great potential to increase efficiency and accuracy but also carries inherent pitfalls and biases.
2
Ethical use of AI in radiology should promote well-being, minimize harm, ensure just distribution of benefits and harms, and respect human rights including dignity and privacy.
3
There is currently limited experience using AI for patient care across diverse clinical settings, so extensive research is needed for safe deployment.
4
Ultimate responsibility and accountability for AI in radiology remain with human designers and operators, and the radiology community should develop codes of ethics preventing use of data/algorithms for financial gain without benefiting patients and the common good.
5
Widespread use of intelligent and autonomous AI systems can increase risk of systemic errors with high consequence and raises complex ethical and societal issues.

Artificial intelligence (AI) systems applied in radiology

Ethical implications, responsibilities, and guidelines for deployment including safety, bias, transparency, accountability, respect for rights (dignity, privacy), equitable distribution of benefits/harms, and governance for AI use in clinical radiology

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Publication Date
2019-10-01
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Authors
William Shields
J. Raymond Geis
Adrian P. Brady
Carol C. Wu
Jack Spencer
Erik Ranschaert
Jacob L. Jaremko
Andrea Borondy Kitts
R. van den Hoven van Genderen
Elmar Kotter
Judy Wawira Gichoya
Tessa S. Cook
Matthew B. Morgan
An Tang
Nabile Safdar
Marc Kohli
Steve G. Langer
Judy Birch
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