A Mythic Belief Regarding Trust in Artificial Intelligence: Uncovering the Role of Responsibility Perception for AI Use in Decision Makings

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dc.contributor.authorLee, Kyootai
dc.contributor.authorCho, Wooje
dc.contributor.authorWoo, Han-Gyun
dc.date.accessioned2023-12-26T18:36:58Z
dc.date.available2023-12-26T18:36:58Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.161
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherf94321e6-b26d-4e6a-917a-dfd2527abdcc
dc.identifier.urihttps://hdl.handle.net/10125/106538
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectExplainable Artificial Intelligence (XAI)
dc.subjectartificial intelligence
dc.subjectattribution theory
dc.subjectdecision making
dc.subjectlocus of control
dc.subjecttrust
dc.titleA Mythic Belief Regarding Trust in Artificial Intelligence: Uncovering the Role of Responsibility Perception for AI Use in Decision Makings
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThis study aims to analyze a mechanism of AI responsibility based on attribution theory. It also identifies a new concept, AI locus of control (AI-LOC), reflecting an individual’s belief about the degree to which AI determines decision performance. To this end, we built a website with embedded AI systems where participants longitudinally made corporate credit rating decisions. We created a dynamic panel dataset that includes participants’ decisions per task and decision performance and attitudes per session. The results revealed that AI-LOC and trust in AI were developed in parallel yet differed over time. AI-LOC positively influenced AI use, but trust in AI did not. We reasoned that individuals would likely exhibit self-serving biases and take an egocentric and disengagement coping strategy regarding their decision-making with AI. This study can contribute to understanding the psychological and behavioral aspects of AI use.
dcterms.extent10 pages
prism.startingpage1307

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