A belief that the algorithm is less likely to be perfect does not explain experience-driven algorithm aversion¶
Claim · All claims
Evidence · 1 study · causalr3·q3
Currency · newest study 2014 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? In every condition participants believed the algorithm more likely than the human to yield a perfect prediction, and aversion persisted among those who thought the model was more perfect than themselves. → Berkeley J. Dietvorst 2014
Evidence¶
Berkeley J. Dietvorst 2014¶
Berkeley J. Dietvorst, Joseph P. Simmons, and Cade Massey. (2014). Algorithm Aversion: People Erroneously Avoid Algorithms After Seeing Them Err. Journal of Experimental Psychology: General. https://doi.org/10.1037/xge0000033
q3 · i? · causal · r3
Belief measures in Study 3b (N = 1,036) showed the perfection account failed to support the alternative hypothesis; the aversion effect among perfection-believers was tested with χ²(1, N = 795) = 4.92, p = .027.
"Moreover, in Study 3b, the effect of seeing the model err on the likelihood of betting on the model persisted even among those who thought the model was more perfect than themselves (63% vs. 55%)."
Discussion¶
Related Claims¶
- Algorithm aversion persists even among participants who saw the algorithm outperform the human forecaster — related
- People lose confidence more quickly in algorithms than in humans after seeing the same kind of mistakes — related
- Seeing an algorithm perform makes people significantly less likely to choose it over a human forecaster — a broader claim this one bears on
- Confidence in the algorithm's forecasts mediates the effect of seeing it perform on choosing it — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
perfection-belief-does-not-explain-aversion |
title |
A belief that the algorithm is less likely to be perfect does not explain experience-driven algorithm aversion |
description |
A belief that the algorithm is less likely to be perfect does not explain experience-driven algorithm aversion |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2014 |
generated |
by process:wiki-ingest on 2026-10-14 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — berkeley-j-dietvorst-2014 |
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