Challenges and Countermeasures of Application of Artificial Intelligence in Medical Field / 中国医学伦理学

ABSTRACT

The artificial intelligence products such as diagnostic expert system and medical robot are constantly applied to medical field, which improve efficiency and benefit, and reduce the amount of labor of medical personnel, but also inevitably bring many ethical issues. The ethical challenges of artificial intelligence applying in medical field include fair benefits, unemployment, patient privacy, medical safety, division of responsibilities and supervision. The reasons may include failure to comply with basic ethical principles, technical defects, lack of legislation and supervision, implicit algorithm bias, poor data quality, insufficient public literacy and so on. The solutions proposed for the reasons included the definition of human priority, fault transparency and traceability, representative samples and researchers to avoid prejudice, the whole process supervision of research and development, production and sales, regulation to clarify moral and ethical boundaries, the legislation to improve the supervision and management system, the restriction of monopoly data, and the promotion of public awareness through education, and global governance to deal with challenges. It should ensure the application of artificial intelligence products in the medical field take "serving the interests of the human being and never harming human" as principle, under the premise of alleviating the repeated labor of medical staff to improve the efficiency and reducing the misdiagnosis and missed diagnosis, effectively improve the medical service quality.