Evidence map›Paper›PMID 42311437›Full record

ArticleFrontiers in digital health2026

Exploring public perceptions of artificial intelligence in bereavement support: a qualitative study of griefbots.

Jiachun Lu, Meiling Yang, Yingai Cui, Yadan Liu, Thomas Kwok Shing Wong, Yanli Hu

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Jiachun LuSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Meiling YangSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Yingai CuiSchool of Nursing, Guangdong Medical University, Zhanjiang, China.
Yadan LiuSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Thomas Kwok Shing WongSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Yanli HuSchool of Nursing, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence technologies designed to simulate deceased loved ones, often referred to as griefbots, are emerging as a novel form of bereavement support. Although such technologies may offer emotional comfort and a sense of continued connection with the deceased, they also raise complex psychological, ethical, and societal concerns. This study aimed to explore public perceptions of griefbots in bereavement support, with particular attention to perceived benefits, psychological and social risks, ethical concerns, and expectations for responsible governance and institutional integration. Methods: A descriptive phenomenological approach was employed. Semi-structured interviews were conducted with 25 participants from Guangdong Province, China, and data were analyzed using Colaizzi's seven-step method. Written informed consent was obtained from all participants, and the study received ethics approval from Guangzhou Medical University. Results: Four themes were identified. Participants perceived griefbots as offering psychosocial benefits, particularly emotional comfort, continued connection with the deceased, and a symbolic means of addressing unresolved loss and regret. At the same time, they expressed concerns about disruption of natural grieving processes, inauthenticity, dependency, psychological harm, social inequality, stigma, and ethical tensions related to data use and posthumous representation. Participants also articulated expectations regarding technology design, use boundaries, governance, and legal safeguards. Overall, perceived acceptability was not organized around simple approval or rejection, but was described as conditional, shaped by context, individual readiness, and perceived vulnerability. Conclusion: Griefbots were perceived as neither inherently beneficial nor inherently harmful. Instead, their comfort and risk were understood to arise from the same capacity to simulate the continued presence of the deceased. Public perceptions of AI in bereavement support were therefore best understood as conditional and negotiated, underscoring the need for careful governance and responsible integration in bereavement-related contexts.

Indexed as

artificial intelligencebereavementdeathethics of AIgriefqualitative research

Identifiers

PMID42311437
PMCPMC13269100

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