{"title":"Emotional AI in Chinese Healthcare: Benevolent Deception Machines and Their Medical Ethical Dilemmas.","authors":"Yuchen Wang, Yanchuan Wang, Zhong Yu, Maoguo Shu, Haofuzi Zhang","doi":"10.1007/s11673-026-10638-5","DOIUrl":null,"url":null,"abstract":"<p><p>This paper examines the ethical challenges posed by the application of emotional AI in Chinese healthcare, characterizing it as a \"benevolent deception machine.\" The article argues that emotional AI's \"optimism bias\" and \"simulated empathy\" render it an efficient tool for executing \"benevolent deception,\" giving rise to two primary ethical concerns: erosion of patient autonomy and the potential to trigger deep-seated crises of trust. Nevertheless, the paper contends that emotional AI can be justified within the Chinese sociocultural context-Confucian familism grants the family a central role in decision-making, current laws reserve discretion for \"withholding information,\" and the ethical framework of \"jingquan\" (constant and variable) provides philosophical grounds for flexibility. The unique value of emotional AI lies in its ability to transform unstable, ad hoc responses by family members into a controlled communicative practice, finding justification within the ethical logic that \"since autonomy is sacrificed, maximum protection must be pursued.\" The article concludes that the design and application of emotional AI must always maintain \"human-in-the-loop\" oversight, ensuring that physician authority remains non-transferable and ethical auditing is non-negotiable.</p>","PeriodicalId":50252,"journal":{"name":"Journal of Bioethical Inquiry","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Bioethical Inquiry","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1007/s11673-026-10638-5","RegionNum":3,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ETHICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper examines the ethical challenges posed by the application of emotional AI in Chinese healthcare, characterizing it as a "benevolent deception machine." The article argues that emotional AI's "optimism bias" and "simulated empathy" render it an efficient tool for executing "benevolent deception," giving rise to two primary ethical concerns: erosion of patient autonomy and the potential to trigger deep-seated crises of trust. Nevertheless, the paper contends that emotional AI can be justified within the Chinese sociocultural context-Confucian familism grants the family a central role in decision-making, current laws reserve discretion for "withholding information," and the ethical framework of "jingquan" (constant and variable) provides philosophical grounds for flexibility. The unique value of emotional AI lies in its ability to transform unstable, ad hoc responses by family members into a controlled communicative practice, finding justification within the ethical logic that "since autonomy is sacrificed, maximum protection must be pursued." The article concludes that the design and application of emotional AI must always maintain "human-in-the-loop" oversight, ensuring that physician authority remains non-transferable and ethical auditing is non-negotiable.
期刊介绍:
The JBI welcomes both reports of empirical research and articles that increase theoretical understanding of medicine and health care, the health professions and the biological sciences. The JBI is also open to critical reflections on medicine and conventional bioethics, the nature of health, illness and disability, the sources of ethics, the nature of ethical communities, and possible implications of new developments in science and technology for social and cultural life and human identity. We welcome contributions from perspectives that are less commonly published in existing journals in the field and reports of empirical research studies using both qualitative and quantitative methodologies.
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