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Research on the Responsibility Traceability Mechanism Based on AI and the Application Boundary of Algorithmic Ethics in Medical Decision Making 认领 引用
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作者 Baochen Huang Zhikai Huang 《Proceedings of Business and Economic Studies》 2025年第4期280-298,共19页
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
关键词 Algorithmic ethics Medical decision-making Liability tracing Medical AI Patient rights protection
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The Absence of Institutional Ethics in Intelligent Public Health Governance and Its Reconstruction:A Normative Analysis Based on Value Sensitive Design 认领 引用
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作者 Liang LI Junyu TAO 《Medicinal Plant》 2026年第3期99-103,107,共5页
This paper introduces value sensitive design(VSD)and institutional ethics theory,proposes a diagnostic framework of"institutional ethics absence",and differentiates between the two paradigms of"technica... This paper introduces value sensitive design(VSD)and institutional ethics theory,proposes a diagnostic framework of"institutional ethics absence",and differentiates between the two paradigms of"technical ethics embedding"and"institutional ethics reconstruction".The analysis indicates that the prevailing ethical challenges in the intelligent public health governance do not stem from technical limitations.Instead,they reflect an external manifestation of the absence of institutional ethics.Although ethical principles are broadly proclaimed,there is a deficiency in operational mechanisms to transform these principles into institutional regulations,leading to"institutional hollowness"wherein principles exist nominally but lack substantive enforcement.The article elucidates the integration pathway between VSD and institutional ethics:VSD offers a methodological foundation for embedding ethical considerations into design,whereas institutional ethics provides a"meta-institutional"guarantee for the design process.Together,these approaches facilitate the"dual embedding"of ethical requirements at both technological and institutional levels.This paper develops a three-tiered institutional reconstruction pathway centered on the core concepts of"precaution,human subjectivity,and justice".It integrates the frameworks of technical standard setting,organizational ethics review,and legal accountability,thereby offering theoretical support for the ethical legitimacy of intelligent public health governance in the digital era. 展开更多
关键词 Intelligent public health governance Institutional ethics Value sensitive design(VSD) Algorithmic ethics Health equity Ethical institutionalization
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VERBATIM 认领 引用
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《China Weekly》 2026年第4期9-9,共1页
"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
关键词 institutional gap content security intellectual property data compliance algorithm ethics ai governance employment impact social stability
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