Monetary incentives for accuracy improve answer correctness specifically when AI advice is available, by reducing reliance on that advice¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr3·q3
Currency · newest study 2026 · 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 Study 3, the stakes × AI interaction on correctness was significant: stakes raised correctness with AI advice (0.11 vs. 0.16) but not without it (0.28 vs. 0.27). → Chiara Marcoccia 2026
q3 i? In Study 4, stakes again raised correctness only when AI advice was provided (0.07 vs. 0.14), with no meaningful effect when it was unavailable (0.27 vs. 0.27). → Chiara Marcoccia 2026 (2)
Evidence¶
Chiara Marcoccia 2026¶
Chiara Marcoccia, Walter Quattrociocchi, Valerio Capraro. (2026). AI advice suppresses people's willingness to say "I don't know", even when the advice is wrong and accuracy is incentivized. https://osf.io/nwx6r/overview?view_only=a03ae0ca587c4c84a442c44d55ab97b6 doi:10.31234/osf.io/5y6m4_v1
q3 · i? · causal · r3
Study 3 exploratory correctness analysis: the article reports a "significant interaction between stakes and AI advice", with stakes helping only in the AI-advice condition. No standardized effect size printed.
"Correctness analyses revealed a significant interaction between stakes and AI advice (b = 0.063, SE = 0.028, t = 2.233, p = .026). Like Study 2, when AI advice was available, monetary stakes increased correctness (0.11 vs. 0.16; b = 0.055, SE = 0.017, t = 3.164, p = .002)."
Chiara Marcoccia 2026 (2)¶
Chiara Marcoccia, Walter Quattrociocchi, Valerio Capraro. (2026). AI advice suppresses people's willingness to say "I don't know", even when the advice is wrong and accuracy is incentivized. https://osf.io/nwx6r/overview?view_only=a03ae0ca587c4c84a442c44d55ab97b6
q3 · i? · causal · r3
Study 4 correctness results with automatically displayed advice: a significant stakes × AI interaction (b = 0.072, p = .011), stakes helping only "when AI advice was available". No standardized effect size printed.
"When AI advice was available, monetary stakes increased correctness (0.07 vs. 0.14; b = 0.072, SE = 0.016, t = 4.420, p < .001). By contrast, when AI advice was unavailable, monetary stakes had no meaningful effect on correctness (0.27 vs. 0.27; b = -0.000, SE = 0.023, t = -0.012, p = .991; see Figure 4b)."
Discussion¶
Related Claims¶
- Access to AI advice roughly doubled reported confidence in answers in one experiment — related
- Merely having access to AI advice nearly eliminates people's willingness to suspend judgment under uncertainty, even when the advice is wrong — related
- Monetary stakes for accuracy act independently of AI availability on judgment suspension, with no significant AI × stakes interaction — related
- Participants seek AI advice less frequently when accuracy carries monetary stakes — related
- AI assistance can inflate confidence even after errors and reduce accuracy when AI is faulty (cognitive surrender) — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
stakes-improve-accuracy-specifically-with-ai |
title |
Monetary incentives for accuracy improve answer correctness specifically when AI advice is available, by reducing reliance on that advice |
description |
Monetary incentives for accuracy improve answer correctness specifically when AI advice is available, by reducing reliance on that advice |
status |
review |
evidence_strength |
mixed |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — chiara-marcoccia-2026, chiara-marcoccia-2026-2 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.