With the rapid advancement of medical artificial intelligence(AI)technology,particularly the widespread adoption of AI diagnostic systems,ethical challenges in medical decision-making have garnered increasing attentio...With the rapid advancement of medical artificial intelligence(AI)technology,particularly the widespread adoption of AI diagnostic systems,ethical challenges in medical decision-making have garnered increasing attention.This paper analyzes the limitations of algorithmic ethics in medical decision-making and explores accountability mechanisms,aiming to provide theoretical support for ethically informed medical practices.The study highlights how the opacity of AI algorithms complicates the definition of decision-making responsibility,undermines doctor-patient trust,and affects informed consent.By thoroughly investigating issues such as the algorithmic“black box”problem and data privacy protection,we develop accountability assessment models to address ethical concerns related to medical resource allocation.Furthermore,this research examines the effective implementation of AI diagnostic systems through case studies of both successful and unsuccessful applications,extracting lessons on accountability mechanisms and response strategies.Finally,we emphasize that establishing a transparent accountability framework is crucial for enhancing the ethical standards of medical AI systems and protecting patients’rights and interests.展开更多
"China's current AI governance focuses on content security,data compliance and algorithm ethics,but lacks a systematic mechanism to address Al's impact on employment.If this institutional gap is not fille..."China's current AI governance focuses on content security,data compliance and algorithm ethics,but lacks a systematic mechanism to address Al's impact on employment.If this institutional gap is not filled in time,it could evolve into a major threat to social stability."Ma Yide,dean and chair professor of the School of Intellectual Property at the University of the Chinese Awderny of Sciences and a delegate to the National People's Congress(NPC),during the 2026 two sessions.展开更多
文摘With the rapid advancement of medical artificial intelligence(AI)technology,particularly the widespread adoption of AI diagnostic systems,ethical challenges in medical decision-making have garnered increasing attention.This paper analyzes the limitations of algorithmic ethics in medical decision-making and explores accountability mechanisms,aiming to provide theoretical support for ethically informed medical practices.The study highlights how the opacity of AI algorithms complicates the definition of decision-making responsibility,undermines doctor-patient trust,and affects informed consent.By thoroughly investigating issues such as the algorithmic“black box”problem and data privacy protection,we develop accountability assessment models to address ethical concerns related to medical resource allocation.Furthermore,this research examines the effective implementation of AI diagnostic systems through case studies of both successful and unsuccessful applications,extracting lessons on accountability mechanisms and response strategies.Finally,we emphasize that establishing a transparent accountability framework is crucial for enhancing the ethical standards of medical AI systems and protecting patients’rights and interests.
文摘"China's current AI governance focuses on content security,data compliance and algorithm ethics,but lacks a systematic mechanism to address Al's impact on employment.If this institutional gap is not filled in time,it could evolve into a major threat to social stability."Ma Yide,dean and chair professor of the School of Intellectual Property at the University of the Chinese Awderny of Sciences and a delegate to the National People's Congress(NPC),during the 2026 two sessions.
