When students raised ethics in essays, concerns concerned authorship and integrity rather than privacy or data¶
Claim · All claims
Evidence · 1 study · qualitativer2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change
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.
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q2 i? Student ethical concerns in the corpus centered on authorship and academic integrity, not privacy or data exploitation. → Lucile Favero 2026
Evidence¶
Lucile Favero 2026¶
Lucile Favero, Juan Antonio Pérez-Ortiz, Tanja Käser, Nuria Oliver. (2026). From Substitution to Scaffolding: Breaking the Self-Reinforcing Harm Cycle of AI in Education (and Beyond). arXiv preprint. https://arxiv.org/abs/2608.17451 doi:10.48550/arxiv.2608.17451
q2 · i? · qualitative · r2
Descriptive coding of the 49-essay corpus: "When students raised ethics, it concerned authorship and integrity rather than privacy or data". One student asked how the school can know AI-assisted work is original rather than AI generated. This contrasts with the paper's broader ethics dimension, which emphasizes surveillance and data exploitation from cited literature.
"When students raised ethics, it concerned authorship and integrity rather than privacy or data"
Discussion¶
Related Claims¶
- Ethical and governance dimensions of AI were less prominent in teachers' narratives than pedagogical opportunities — related
- Human-AI relationship concerns persist across all CAI generations while academic integrity and data privacy are emerging ethical concerns — related
- Faculty members and students identify both user-related and algorithm-related ethical risks in AI use in education — related
- AI integration in online learning raises interconnected challenges of academic integrity, equity and bias, ethics and privacy, and institutional policy gaps — related
- 80% of IB student essays explicitly link reliance on AI to reduced thinking — related
- Ethical concerns (bias, transparency, privacy, authorship, accountability) emerge as cross-cutting dimensions of GenAI-specific TPK across studies of teacher educators — related
- Review reports ethical concerns of educational AI including algorithmic bias and exploitation of personal data — related
- Reviewed studies identify data privacy, algorithmic bias, unequal access, and epistemic trust as central ethical concerns in educational AI — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
essay-ethics-concerns-authorship-integrity |
title |
When students raised ethics in essays, concerns concerned authorship and integrity rather than privacy or data |
description |
When students raised ethics in essays, concerns concerned authorship and integrity rather than privacy or data |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — lucile-favero-2026 |
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