Acceptability lies in the eye of the beholder: Self-other biases in GenAI collaborations

Begum Celiktutan, Anne-Kathrin Klesse and Mirjam A. Tuk

International Journal of Research in Marketing, 2024, vol. 41, issue 3, 496-512

Abstract: Since the release of ChatGPT, heated discussions have focused on the acceptable uses of generative artificial intelligence (GenAI) in education, science, and business practices. A salient question in these debates pertains to perceptions of the extent to which creators contribute to the co-produced output. As the current research establishes, the answer to this question depends on the evaluation target. Nine studies (seven preregistered, total N = 4498) document that people evaluate their own contributions to co-produced outputs with ChatGPT as higher than those of others. This systematic self–other difference stems from differential inferences regarding types of GenAI usage behavior: People think that they predominantly use GenAI for inspiration, but others use it to outsource work. These self–other differences in turn have direct ramifications for GenAI acceptability perceptions, such that usage is considered more acceptable for the self than for others. The authors discuss the implications of these findings for science, education, and marketing.

Keywords: GenAI; ChatGPT; Inferred contribution; Intellectual ownership; Self-other difference; Biased self-evaluation (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ijrema:v:41:y:2024:i:3:p:496-512

DOI: 10.1016/j.ijresmar.2024.05.006

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