Fluent, confident AI presentation gives reason to expect trust miscalibration, especially among learners with limited domain knowledge¶

Claim · All claims
Evidence · 1 study · review r2 · q1
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.

q1 i? Fluency is epistemically persuasive because users may mistake ease of processing for reliability, creating risk of misplaced epistemic authority and normative displacement. → Du Y 2026

Evidence¶

Du Y 2026¶

Du Y, Yuan Y (2026) Epistemic dependence in AI-mediated learning. AI & SOCIETY. https://doi.org/10.1007/s00146-026-03294-1

q1 · i? · review · r2

Theoretical analysis in the review's Pathway 1 section, drawing on reviews of generative AI documenting both explanatory usefulness and vulnerability to fabricated content. The review hedges: direct evidence about how particular learners calibrate trust remains uneven, so the stronger claim is an expectation of miscalibration. No effect size is reported.

"Fluency is epistemi- cally persuasive, because users can mistake ease of process- ing for reliability. The educational risk is not error alone but the alignment of error, confidence and immediacy."

Discussion¶

Learner Variables¶

Prior Knowledge — moderator: an instructional effect differs with it

Prior Knowledge Needed For Accurate Self Assessment — the general claim this finding bears on, with the studies behind it
Fluent Illusions Mislead Self Assessment — a narrower finding that bears on this claim
Epistemic and society-related AI knowledge were negatively associated with trust in GenAI — related
Prior knowledge and trust calibration moderate GenAI learning effects: fluent output is most persuasive when learners least can challenge it — possibly the same claim (merge candidate)
GenAI chemistry outputs can be fluent and locally persuasive while chemically invalid across representations — a narrower finding that bears on this claim
Students exhibited high trust in GenAI but limited critical evaluation of its outputs — related

Page metadata

Field	Value
`type`	`claim`
`id`	`fluent-authority-trust-miscalibration`
`title`	`Fluent, confident AI presentation gives reason to expect trust miscalibration, especially among learners with limited domain knowledge`
`description`	`Fluent, confident AI presentation gives reason to expect trust miscalibration, especially among learners with limited domain knowledge`
`status`	`review`
`evidence_strength`	`weak`
`newest_evidence`	`2026`
`generated`	by `process:wiki-ingest` on `2026-10-10`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `du-y-2026`

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