Evidence map›Paper›PMID 39870713›Full record

ArticleScientific reports2025

Exploring condition in which people accept AI over human judgements on justified defection.

Hitoshi Yamamoto, Takahisa Suzuki

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Hitoshi YamamotoDepartment of Business Administration, Rissho University, Tokyo, 141-8602, Japan. hitoshi@ris.ac.jp.
Takahisa SuzukiCollege of Policy Studies, Tsuda University, Tokyo, 151-0051, Japan.

Funding

Japan Society for the Promotion of Science 23K25160
6 · The paper itself

Abstract

As artificial intelligence (AI) technology is introduced into different areas of society, understanding people's willingness to accept AI decisions emerges as a critical scientific and societal issue. It is an open question whether people can accept the judgement of humans or AI in situations where they are unsure of their judgement, as in the trolley problem. Here, we focus on justified defection (non-cooperation with a bad person) in indirect reciprocity because it has been shown that people avoid judging justified defection as good or bad. We explore which decisions people would accept when AI and humans make different decisions in the justified defection. Two experiments revealed that only when AI judged positively and a human judged negatively, people rated the AI's judgement as better. The research suggests that people's acceptance of AI decisions depends on estimating the hidden intentions behind societal norms. It offers new insights into human norm analysis by examining the differences in acceptance between AI and human judgments.

Indexed as

Artificial IntelligenceDecision MakingJudgmentAdultFemaleHumansMaleYoung Adult

Identifiers

PMID39870713
PMCPMC11772686

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.