AI involvement at the intermediate feedback level is appropriate only if five non-negotiable boundary principles hold simultaneously¶

Claim · All claims
Evidence · 1 study · theoretical r3 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? The article argues that intermediate-level AI support is viable only when assessor-curated knowledge bases, human final authority, bounded verification, transparency and attribution, and security by design are all satisfied simultaneously. → Venetsanos 2026

Evidence¶

Venetsanos 2026¶

Venetsanos, D. T. (2026). A Tripartite Feedback Framework for AI-Assisted Assessment of Complex Reports in Higher Education. AI Educ. 2026, 2, 26. https://doi.org/10.3390/aieduc2030026

q1 · i? · theoretical · r3

Theoretical argument in Section 3.2 of this conceptual paper. The five principles govern "knowledge base curation, human oversight authority, limitation to bounded verification, transparency and attribution, and security" and are presented as "non-negotiable boundary conditions rather than aspirational guidelines".

"Institutions considering AI involvement at the intermediate level must demonstrate that all five conditions are satisfied simultaneously; satisfying only four is insufficient."

Discussion¶

Related Claims¶

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