Evidence map›Paper›PMID 42137246›Full record

ArticleFrontiers in genetics2026

Non-death loss and GenAI: ethical reflections on griefbots of the living.

Alexander Manevich, Yuval Haber

Abstract read
In one paragraph

Article in Frontiers in genetics, 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

2 authors.

Alexander ManevichDepartment of Clinical Psychology of Adulthood and Aging, Ruppin Academic Center, Kfar Monash, Hefer Valley, Israel.
Yuval HaberThe Program of Hermeneutics and Culture, Interdisciplinary Studies Unit, Bar-Ilan University, Ramat Gan, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid integration of artificial intelligence into loss and bereavement marks a paradigmatic shift in the way humans maintain the relationship with the dead. Rather than relying primarily on memory, individuals may now engage with algorithmic entities that simulate the deceased by drawing on personal data to reproduce patterns of language, voice, and behavior. Although such technologies may respond to the enduring human need for ongoing dialogue with the deceased, they raise significant questions about the boundaries between life and death, as well as about their potential impact on the grieving process. To date, scholarly attention has focused almost exclusively on bereavement following death. However, it is reasonable to anticipate that these applications will soon extend to forms of loss that do not result from death, particularly situations in which individuals grieve loved ones who remain alive. Introducing the concept of a

Indexed as

ALIVE modelbiomedical ethicsdementiagenerative artificial intelligence (GenAI)griefbotsnon-death lossPremorbidBot

Identifiers

PMID42137246
PMCPMC13171065

What OpenQuestion holds

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Registered trials

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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.