Institute of Sociology
of the Federal Center of Theoretical and Applied Sociology
of the Russian Academy of Sciences

Ugleva A.V., Shilova V.A., Karpova E.A. The “ethics” index of artificial intelligence systems in medicine: from theory to practice. Ethical Thought. 2024. Vol. 24. No. 1. P. 144-159.



Ugleva A.V., Shilova V.A., Karpova E.A. The “ethics” index of artificial intelligence systems in medicine: from theory to practice. Ethical Thought. 2024. Vol. 24. No. 1. P. 144-159.
ISSN 2074-4870
DOI 10.21146/2074-4870-2024-24-1-144-159
ÐÈÍÖ: https://elibrary.ru/item.asp?id=69155962

Posted on site: 23.09.24

Òåêñò ñòàòüè íà ñàéòå æóðíàëà URL: https://et.iphras.ru/article/view/10304/5602 (äàòà îáðàùåíèÿ 23.09.2024)


Abstract

The article presents the methodology developed by the research group «Ethical Expertise in the Field of AI» based on Artificial Intelligence Center of the HSE University «Index of Ethics of Artificial Intelligence Systems». The task of developing this «Index» was to assess real and possible ethical risks arising at all stages of the life cycle of AI systems. The system itself does not possess any «ethics», while socially acceptable, morally permissible, and necessary may be the actions of developers and data providers in the process of its design, as well as of operators and consumers in the process of piloting and implementation. Several issues related, for example, to the confidentiality of personal data, to liability, are partly regulated by the current legislation, while most of the threats are only predicted, but so far have not been even clearly articulated, much less measured. The methodology presented in this article is intended to partially fill this lacuna and thereby answer both public and narrowly professional requests. The methodology is designed primarily for the purposes of the medical community, which needs to confirm the moral soundness and compliance with professional standards for the introduction of new technologies into clinical practice; and as a tool that can be used in the activities of ethics commissions, similar to bioethics committees, when approving relevant medical research involving AI; as a supplement to voluntary technical certification procedures, as well as in forensic medical examinations. The «Index» reflects the most pressing issues - such as issues of trust, distributed responsibility, data privacy, transparency and explainability of AI models, fairness, and non-discrimination. The uniqueness of the «Index» lies in its underlying interdisciplinary approach, which includes the methodology of «value design» and field sociological research, which made it possible to combine theoretical humanitarian approaches to understanding the content of key moral concepts, with their interpretation in professional medical ethics. This makes the «Index» not only interesting from a theoretical point of view to formalize ethical concepts, but also useful from a practical point of view - as an example of the applied meaning of ethics and the use of its tools to solve socially significant problems.