Summary of differences between humans and GPT across each study
| Study | Human behaviour | GPT 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 errors | GPT 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 appreciation | GPT 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 contexts | GPT shows a strong preference for human medical expertise over AI, even without uniqueness neglect |
| Study | Human behaviour | GPT behaviour |
|---|---|---|
| Study 1 ( | Exposure to algorithm errors reduces reliance on algorithms; humans tend to maintain their own judgement even after making errors | GPT prefers its own decision-making after seeing algorithm errors but reduces algorithm aversion when comparing its performance with an external algorithm |
| Study 2 ( | Humans adjust decision-making more when receiving advice from algorithmic sources than from humans, thus, exhibiting algorithm appreciation | GPT adjusts its decision-making more when receiving advice from humans than from algorithmic sources; thus, exhibiting algorithm aversion |
| Study 3 ( | Humans prefer human physicians’ medical advice over computer programs, driven by uniqueness neglect in personal contexts | GPT shows a strong preference for human medical expertise over AI, even without uniqueness neglect |
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