Ethical principles of the development of artificial intelligence systems for healthcare

Implementation of Artificial Intelligence (AI) is considered one of the most promising directions in the digital transformation of healthcare. Such systems can improve the quality of therapeutic and diagnostic processes and the efficiency of planning and managing the healthcare industry. However, the potential of AI to enhance public health indicators and improve the functioning quality of the healthcare system is inextricably linked to ethical issues arising from the specific aspects of their creation and implementation, as well as their direct impact on the life and health of communities, individual
patients, and medical personnel.

It is necessary to form and increase trust from the medical community, patients, regulatory and supervisory bodies, and other interested parties in order to implement AI in healthcare. For this purpose, it is advisable for AI developers and other involved parties to follow a set of unified ethical principles. Based on leading work in the field of AI ethics, 19 principles for the creation of AI in healthcare were developed. They were directed to public discussions and adjusted in consideration of the feedback. Adherence to the published principles by participants in the processes of creation, testing, validation, market launch, and postmarketing support can significantly increase trust in AI and contribute to the successful implementation of ethical AI systems in healthcare.