Claims

Participant samples in AI trust research skew WEIRD: mostly Western, adult, university-educated participants, limiting external validity

Claim · All claims
Evidence · 1 study · review r2 · 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? The review finds demographic patterns pointing toward systematic WEIRD bias in participant recruitment, which may limit the external validity of the reviewed studies. → Abramson SL 2026

Evidence

Abramson SL 2026

Abramson SL, Sora-Cardenas J, Nandakumar P, Bruce JE, Gopinath N, Zangari LG and Feijóo-García PG (2026). Trust and interaction design in AI-enabled systems: a systematic literature review. Front. Psychol. 17:1932655. https://doi.org/10.3389/fpsyg.2026.1932655

q3 · i? · review · r2

Across the 33-study corpus, population sizes ranged from n = 10 to n = 1,511 (mean n = 245.73); 33.33% of studies reported Western-country participants, 84.84% reported participants aged 18 or older, and 27.27% involved university-degree holders or pursuers.

"These demographic patterns point toward a systematic bias in participant recruitment, consistent with the WEIRD framework (i.e., Western, Educated, Industrialized, Rich, and Democratic) (Henrichetal.,2010 )."

Discussion

Page metadata
Field Value
type claim
id weird-bias-ai-trust-research
title Participant samples in AI trust research skew WEIRD: mostly Western, adult, university-educated participants, limiting external validity
description Participant samples in AI trust research skew WEIRD: mostly Western, adult, university-educated participants, limiting external validity
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — abramson-sl-2026

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