Evidence map›Paper›PMID 41785327›Full record

ArticlePerspectives on psychological science : a journal of the Association for Psychological Science2026

Reframing the Performance and Ethics of Empathic AI: Wisdom of the Crowd and Placebos.

Mark A Thornton

Abstract read
In one paragraph

Article in Perspectives on psychological science : a journal of the Association for Psychological Science, 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

1 author.

Mark A ThorntonDepartment of Psychological and Brain Sciences, Dartmouth College.ORCID 0000-0001-5985-3030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, claims have emerged that artificial intelligence (AI) is better at providing empathy than humans. These claims are based on experiments in which large language models were prompted to generate empathic responses to short emotional passages. These responses, as well as analogous responses generated by human participants, were judged by third-party human raters. In several cases, the AI-generated responses were preferred to human responses. Such findings have led to suggestions that people should use empathic AI to supplement human empathy. This article critically examines these positions by drawing analogies to two well-established psychological effects. First, I argue that the apparent preferability of AI-generated empathy reflects an analogue of the "wisdom-of-the-crowd" effect. This reframes the performance of empathic AI in a more mundane and less dehumanizing way. Second, I consider whether people should use AI for empathy. Here I draw an analogy to placebo effects, suggesting that even clear utilitarian benefits may not justify the adoption of empathic AI. Through these analogies between AI and well-known psychological effects, this article equips readers with new conceptual tools for grappling with empathic AI, its performance, and the morality of its use.

Indexed as

Artificial IntelligenceEmpathyPlacebo EffectHumansartificial intelligenceempathyplacebowisdom of the crowd

Identifiers

PMID41785327
PMCPMC13323908

What OpenQuestion holds

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LicenceCC BY-NC
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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.