Claims

Access to AI advice roughly doubled reported confidence in answers in one experiment

Claim · All claims
Evidence · 1 study (2 entries) · causal r3 · q3
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 2 of 2 entries) · 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? AI advice nearly doubled reported confidence on a 0–100 scale (29.6 vs. 75.9 without stakes; 37.7 vs. 73.5 with stakes). → Chiara Marcoccia 2026 q3 i? Stakes raised confidence only when AI advice was unavailable; the confidence increase disappeared when AI advice was available (significant interaction). → 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 2 secondary measure: after each question participants rated confidence on a continuous 0–100 scale. The article reports a "large main effect of AI advice, which nearly doubled reported confidence"; no standardized effect size printed.

"Confidence judgments revealed a large main effect of AI advice, which nearly doubled reported confidence (29.6 vs. 75.9 without stakes; 37.7 vs. 73.5 with stakes)"

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 2 simple slopes for the significant stakes × AI interaction on confidence (b = −10.509, p = .006): stakes raised confidence only "when participants could not seek AI advice". No standardized effect size printed.

"Monetary stakes increased confidence when participants could not seek AI advice (29.6 vs. 37.7; b = 8.083, SE = 3.163, t = 2.556, p = .011), but this effect disappeared when AI advice was available (75.9 vs. 73.5; b = −2.426, SE = 2.216, t = −1.095, p = .274; see Figure 2b)."

Studies bearing on this claim

Does working with AI make learners' judgments of their own knowledge, effort and performance less accurate, and what restores them? This table gathers the studies behind this claim and the 12 narrower claims that bear on it: 8 distinct studies (6 causal, 1 theoretical, 1 review), q2–q4, 3 of 8 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.

Study Design Effect as recorded Bears on this claim through
Chiara Marcoccia 2026 q3 · causal · r3 i? this claim
Bastani Hamsa 2025 q2 · causal · r3 i? Students do not perceive the learning harm from copying GPT solutions and overestimate the (supports)
Fernandes 2026 q3 · causal · r2 i3; i1; i2 Participants substantially overestimated their performance in all trace conditions, with t (supports); Full reasoning traces worsened calibration bias and Brier scores relative to both other co (supports)
Sunny Yu 2026 q3 · causal · r3 i? People significantly underestimate AI-assisted completion times on simple cognitive tasks, (supports); People overestimate how much mental effort AI assistance alleviates (offloading illusion), (supports); People are well-calibrated about their own independent completion times (qualifies); Participants more averse to thinking are more susceptible to the speedup illusion; AI fami (qualifies)
Dongming Mei 2026 q2 · theoretical · r2 i? AI assistance can inflate confidence even after errors and reduce accuracy when AI is faul (supports)
Qusay H. Mahmoud 2026 q2 · review · r3 i? Task completion with GenAI is a weak proxy for durable competence, with struggling learner (supports)
Benjamin Lira 2025 q4 · causal · r3 i0 Practicing with AI did not create an illusion of mastery: participants reported learning a (counts against)
Ren S 2026 q2 / q3 · causal · r2 i3; i1; i? Reflection improves correspondence between perceived and behavioral reliance on ChatGPT (qualifies); Better awareness calibration co-occurs with lower incorrect-advice acceptance and lower at (qualifies)

Discussion

Learner Variables

Page metadata
Field Value
type claim
id ai-access-inflates-confidence
title Access to AI advice roughly doubled reported confidence in answers in one experiment
description Access to AI advice roughly doubled reported confidence in answers in one experiment
status review
evidence_strength moderate
newest_evidence 2026
source_checked 2026-10-20
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.