AI literacy interventions recalibrate reliance on ML systems rather than simply increasing trust¶
Claim · All claims
Evidence · 1 study (2 entries) · theoreticalr2·q2
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.
q2 i? The article reports, citing Chiang and Yin, that literacy interventions cause users to become more discerning rather than more trusting, relying on models when they perform well and withholding trust when outputs are uncertain or flawed. → Pierre Haritz 2026
q2 i? The article reports, citing Yao et al., that digital literacy increased trust in medical AI while AI literacy specifically reduced it, generating informed skepticism. → Pierre Haritz 2026 (2)
Evidence¶
Pierre Haritz 2026¶
Pierre Haritz, Hendrik Krone, and Thomas Liebig. (2026). Addressing Trust in AI Systems through Education: A Didactic Perspective. https://arxiv.org/abs/2609.02453 doi:10.48550/arxiv.2609.02453
q2 · i? · theoretical · r2
Narrative review attributing this finding to Chiang and Yin's study of ML literacy interventions on laypeople's reliance. The article reports the study showed literacy "cause[s] users to become more discerning rather than more trusting"; no effect sizes are printed.
"Chiang and Yin showed that literacy interventions cause users to become more discerning rather than more trusting: participants relied on ML models when the models performed well and withheld trust when outputs were uncertain or flawed"
Pierre Haritz 2026 (2)¶
Pierre Haritz, Hendrik Krone, and Thomas Liebig. (2026). Addressing Trust in AI Systems through Education: A Didactic Perspective. https://arxiv.org/abs/2609.02453
q2 · i? · theoretical · r2
Narrative review attributing this cross-sectional finding to Yao et al.'s study integrating digital, AI, and scientific literacy in medical AI trust. The article reports AI literacy specifically reduced trust in medical AI; no effect sizes are printed.
"A further study showed that digital literacy increased trust in medical AI, but AI literacy specifically reduced it, as deeper awareness of risks generated what the authors call informed skepticism rather than blind confidence"
Discussion¶
Learner Variables¶
- Digital Literacy — outcome: instruction changes it
Related Claims¶
- Epistemic and society-related AI knowledge were negatively associated with trust in GenAI — related
- Verification bottleneck: as reliance on AI increases, accuracy in detecting AI errors decreases while confidence does not — related
- Reliance, trust, and dependency are distinct constructs requiring separate measurement from AI-literacy totals — related
- Need for cognition negatively moderates the trust–appropriate reliance relationship, with the trust slope becoming more negative as need for cognition increases — related
- AI literacy negatively moderates the trust–appropriate reliance relationship, with the trust slope becoming more negative as AI literacy increases — a narrower finding that bears on this claim
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-literacy-recalibrates-rather-than-increases-trust |
title |
AI literacy interventions recalibrate reliance on ML systems rather than simply increasing trust |
description |
AI literacy interventions recalibrate reliance on ML systems rather than simply increasing trust |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — pierre-haritz-2026, pierre-haritz-2026-2 |
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