Table 5

Summary of differences between humans and GPT across each study

StudyHuman behaviourGPT behaviour
Study 1 (Dietvorst et al., 2015)Exposure to algorithm errors reduces reliance on algorithms; humans tend to maintain their own judgement even after making errorsGPT prefers its own decision-making after seeing algorithm errors but reduces algorithm aversion when comparing its performance with an external algorithm
Study 2 (Logg et al., 2019)Humans adjust decision-making more when receiving advice from algorithmic sources than from humans, thus, exhibiting algorithm appreciationGPT adjusts its decision-making more when receiving advice from humans than from algorithmic sources; thus, exhibiting algorithm aversion
Study 3 (Longoni et al., 2019)Humans prefer human physicians’ medical advice over computer programs, driven by uniqueness neglect in personal contextsGPT shows a strong preference for human medical expertise over AI, even without uniqueness neglect
Source(s): Authors’ own work

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