Description: Artificial intelligence (AI) applications are widely adopted in different industries. In the healthcare domain, the use of AI is increasingly highlighted ranging from personalized service, diagnosis, and professional training to medicinal products. AI's considerable impact on human life also raises regulatory and ethical concerns. In June 2024, the world’s first comprehensive AI law - the EU AI Act was published in the Official Journal of European Union to be enforced. This session will examine the biomedical ethics issues of AI-driven diagnosis in precision medicine from three aspects. First, the various types of AI-driven diagnosis will be categorized and the ethical concerns on the medical application and patients will be pointed out. Second, ethical issues in the current regulatory landscape, such as the new EU AI act, the U.S. FDA guidance of computer-assistance detection devices, and so on, will be assessed. Last, practical approaches to overcome the ethical challenges addressed above, which include risk management, good machine learning practice, and quality management systems will be proposed and evaluated.
Learning Objectives:
Upon completion, participant will be able to understand the ethical perspectives on the medical application of AI-driven diagnosis and patients.
Upon completion, participant will be able to describe the ethical issues in the current regulatory landscape, such as the new EU AI act and so on.
Upon completion, participant will be able to integrate the ethical concerns into the developing strategy of the AI-driven diagnosis ranging from the risk management, good machine learning practice, and QMS.
