[1]邢源恒.生成式人工智能嵌入健康养老的伦理挑战及治理[J].卫生经济研究,2026,43(02):72-76.
　XING Yuanheng.Ethical Challenges and Governance of Generative Artificial Intelligence in Healthy Aging[J].Journal Press of Health Economics Research,2026,43(02):72-76.
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生成式人工智能嵌入健康养老的伦理挑战及治理

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
43
期数:
2026年02期
页码:
72-76
栏目:
数智健康
出版日期:
2026-01-31

文章信息/Info

Title:
Ethical Challenges and Governance of Generative Artificial Intelligence in Healthy Aging
作者:
邢源恒1
1.暨南大学法学院，广东 广州 510000
Author(s):
XING Yuanheng
Law School, Jinan University, Guangzhou Guangdong 510000, China
关键词:
生成式人工智能; 健康中国; 健康养老; 伦理挑战
Keywords:
generative artificial intelligence;  healthy China;  healthy aging;  ethical challenges
分类号:
R19
文献标志码:
A
摘要:
生成式人工智能通过多模数据融合与认知决策支撑，推动健康养老服务从被动响应向认知赋能转型。然而，技术驱动导致算法权力扩张，引发多维伦理挑战，包括系统信任危机、老年人主体性消解风险、法律规制与伦理审查滞后等。对此，亟须构建技术创新、法律规制与伦理约束相融合的包容性健康养老治理框架，在技术维度构建安全可信的人工智能健康养老系统，在主体维度加大老年人权利保护力度，在制度维度建立法律与伦理协同的多层级治理体系，从而推动健康养老领域科技与伦理的协同高质量发展。
Abstract:
Generative artificial intelligence(AI), through multi-modal data fusion and cognitive decision support, facilitates the transformation of healthy aging services from passive response to cognitive empowerment. However, technology-driven advancement leads to the expansion of algorithmic power, which induces multi-dimensional ethical challenges, including systemic trust crises, the risk of subjectivity erosion of older adults, and the delay of legal regulation and ethical oversight. In response, it is urgent to construct an inclusive governance framework for healthy aging that integrates technological innovation, legal regulation, and ethical constraints. This involves building a safe and trustworthy AI-powered healthy aging system at the technological level, strengthening the protection of the rights of older adults at the subject level, and establishing a multi-level governance system with coordinated legal and ethical oversight at the institutional level, thereby promoting the synergistic high-quality development of technology and ethics in the field of healthy aging.

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更新日期/Last Update: 2026-02-03