Evidence map›Paper›PMID 42836909›Full record

ArticleJournal of bioethical inquiry2026

Emotional AI in Chinese Healthcare: Benevolent Deception Machines and Their Medical Ethical Dilemmas.

Yuchen Wang, Yanchuan Wang, Zhong Yu, Maoguo Shu, Haofuzi Zhang

Abstract read
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In one paragraph

Article in Journal of bioethical inquiry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuchen Wang *School of Marxism, Northwestern Polytechnical University, Xi'an, China.
Yanchuan Wang *School of Marxism, Northwestern Polytechnical University, Xi'an, China.
Zhong YuDepartment of Plastic, Aesthetic and Maxillofacial Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, P.R. China.
Maoguo ShuDepartment of Plastic, Aesthetic and Maxillofacial Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, P.R. China. smgjdyfy@126.com.
Haofuzi ZhangDepartment of Plastic, Aesthetic and Maxillofacial Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, P.R. China. zhanghaofuzi@stu.xjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Benevolent deceptionConfucian familismEmotional AIInformed consentMedical ethics

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.