Students exposed to the biased LLM showed no awareness of its influence, reporting lower perceived AI influence than neutral-condition participants despite larger bias effects¶
Claim · All claims
Evidence · 1 study · causalr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
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? Biased-condition participants reported lower perceived influence on career recommendations (Q2: 3.50±1.33 vs. 3.71±1.23) and noticed no unusual suggestions (0/42), despite exhibiting the largest bias effects. → Ariyan Hossain 2026
Evidence¶
Ariyan Hossain 2026¶
Ariyan Hossain, Kazi Kamruzzaman Rabbi, Farig Sadeque, S M Taiabul Haque. (2026). Contaminated Collaboration: Measuring Gender Bias Transfer in LLM-Assisted Student Writing. arXiv preprint. https://arxiv.org/abs/2606.15914 doi:10.48550/arxiv.2606.15914
q2 · i? · causal · r2
Post-task survey (5-point Likert items on perceived AI influence, counterfactual difference, and noticed anomalies) administered after essay submission in the 123-participant experiment. No inferential test is reported for these survey contrasts; ratings are descriptive.
"Despite exhibiting a substantially larger agency gap and higher SCR, biased con- dition participants reported lower perceived influ- ence on career recommendations (Q2: 3.50±1.33 vs. 3.71±1.23 ) and writing (Q3: 3.90±1.08 vs. 4.07±0.98 )"
Discussion¶
Related Claims¶
- AI systems are non-neutral socio-technical artifacts embedding cultural assumptions and power relations — the general claim this finding bears on, with the studies behind it
- Students assisted by a gender-biased LLM produce career-plan essays with a significantly larger male-female agentic gap than students in neutral-LLM and no-AI control conditions — related
- Biased LLM assistance increases students' gender-stereotypic occupational recommendations: 71.4% of biased-condition essays recommended a gender-stereotypic occupation versus 45.0% (control) and 39.0% (neutral) — related
- A gender-biased system prompt induces large gender-differentiated language in LLM-generated career essays, while a neutral prompt does not — related
- Bias transfer is asymmetric: prompt condition affects agency in female-target essays but not male-target essays, suppressing female agency while male writing remains stable — related
- A neutrally configured LLM assistant produced the lowest rate of gender-stereotypic occupation suggestions, below even the no-AI control condition — related
- The video-task awareness measure did not correlate with misconceptions or conceptual change and is considered exploratory — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
bias-transfer-without-awareness-llm-writing |
title |
Students exposed to the biased LLM showed no awareness of its influence, reporting lower perceived AI influence than neutral-condition participants despite larger bias effects |
description |
Students exposed to the biased LLM showed no awareness of its influence, reporting lower perceived AI influence than neutral-condition participants despite larger bias effects |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ariyan-hossain-2026 |
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