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

Authors :
Manuel Oliveira
Justus Brands
Judith Mashudi
Baptist Liefooghe
Ruud Hortensius
Source :
Cognitive Research, Vol 9, Iss 1, Pp 1-20 (2024)
Publication Year :
2024
Publisher :
SpringerOpen, 2024.

Abstract

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.

Details

Language :
English
ISSN :
23657464
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Cognitive Research
Publication Type :
Academic Journal
Accession number :
edsdoj.323c92a0fb64964bca3e77d9d7c317b
Document Type :
article
Full Text :
https://doi.org/10.1186/s41235-024-00573-7