Evidence map›Paper›PMID 39019988›Full record

ArticleCognitive research: principles and implications2024

Perceptions of artificial intelligence system's aptitude to judge morality and competence amidst the rise of Chatbots.

Manuel Oliveira, Justus Brands, Judith Mashudi, Baptist Liefooghe, Ruud Hortensius

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2024. 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

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2 · The registry

The trial behind it

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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

5 authors.

Manuel OliveiraDepartment of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands.ORCID 0000-0002-6220-0695
Justus BrandsDepartment of Psychology, Utrecht University, Utrecht, The Netherlands.
Judith MashudiDepartment of Psychology, Utrecht University, Utrecht, The Netherlands.
Baptist LiefoogheDepartment of Psychology, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0001-5896-2884
Ruud HortensiusDepartment of Psychology, Utrecht University, Utrecht, The Netherlands. r.hortensius@uu.nl.ORCID 0000-0002-5279-6202

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper examines how humans judge the capabilities of artificial intelligence (AI) to evaluate human attributes, specifically focusing on two key dimensions of human social evaluation: morality and competence. Furthermore, it investigates the impact of exposure to advanced Large Language Models on these perceptions. In three studies (combined N = 200), we tested the hypothesis that people will find it less plausible that AI is capable of judging the morality conveyed by a behavior compared to judging its competence. Participants estimated the plausibility of AI origin for a set of written impressions of positive and negative behaviors related to morality and competence. Studies 1 and 3 supported our hypothesis that people would be more inclined to attribute AI origin to competence-related impressions compared to morality-related ones. In Study 2, we found this effect only for impressions of positive behaviors. Additional exploratory analyses clarified that the differentiation between the AI origin of competence and morality judgments persisted throughout the first half year after the public launch of popular AI chatbot (i.e., ChatGPT) and could not be explained by participants' general attitudes toward AI, or the actual source of the impressions (i.e., AI or human). These findings suggest an enduring belief that AI is less adept at assessing the morality compared to the competence of human behavior, even as AI capabilities continued to advance.

Indexed as

Artificial IntelligenceJudgmentMoralsSocial PerceptionAdultAptitudeFemaleHumansMaleYoung AdultArtificial intelligenceChatbotsCompetenceImpression formationLarge language modelsMoralitySocial evaluation

Identifiers

PMID39019988
PMCPMC11255178

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.