Who Owns Validity? AI Assessment, Institutional Boundaries, and the Future of Quality Assurance

Generative artificial intelligence (GenAI) challenges the relationship between assessed student work and the capabilities that universities claim to certify. This conceptual paper examines assessment validity as a shared governance problem, rather than primarily a matter of misconduct detection or technology procurement. It synthesises recent evidence from the UK Quality Assurance Agency, research on automated essay marking, and scholarship on validity-centred and process-informed assessment. The paper proposes a Cross-Institutional AI Assessment Compact comprising co-designed validity indicators, reciprocal audit mechanisms and student-centred accountability. It argues that institutional partnerships can provide a practical setting in which to test assessment redesign, align expectations and protect disciplinary autonomy while developing comparable standards of assurance. The proposed compact remains a framework for pilot evaluation, not an empirically validated intervention.

Authors

Institutions

Publication Details

Journal
Journal of Language Literature & Social Affairs
Published
2026-10-26
DOI
https://doi.org/10.63056/jllsa.2.10.2026.419
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Who Owns Validity? AI Assessment, Institutional Boundaries, and the Future of Quality Assurance

Abida Nasreen, Anjum Naz
Journal of Language Literature & Social Affairs
Artificial Intelligence in Education
article

Who Owns Validity? AI Assessment, Institutional Boundaries, and the Future of Quality Assurance

Abida Nasreen, Anjum Naz
article en

Abstract

Generative artificial intelligence (GenAI) challenges the relationship between assessed student work and the capabilities that universities claim to certify. This conceptual paper examines assessment validity as a shared governance problem, rather than primarily a matter of misconduct detection or technology procurement. It synthesises recent evidence from the UK Quality Assurance Agency, research on automated essay marking, and scholarship on validity-centred and process-informed assessment. The paper proposes a Cross-Institutional AI Assessment Compact comprising co-designed validity indicators, reciprocal audit mechanisms and student-centred accountability. It argues that institutional partnerships can provide a practical setting in which to test assessment redesign, align expectations and protect disciplinary autonomy while developing comparable standards of assurance. The proposed compact remains a framework for pilot evaluation, not an empirically validated intervention.

Journal of Language Literature & Social AffairsVol. 2(10)
University of the Punjab (PK)
Openalex Percentile: Top 6%
Artificial Intelligence in Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Who Owns Validity? AI Assessment, Institutional Boundaries, and the Future of Quality Assurance — Abida Nasreen, Anjum Naz · Journal of Language Literature & Social Affairs (2026) | TGRS Research Map | TGRS