Academic erasure: the disappearance of complexity under AI-supported writing

This paper introduces the concept of ‘academic erasure’ to describe how generative AI tools, while producing fluent and compliant writing, undermine the critical thinking and epistemic labour traditionally associated with academic work. Drawing on academic literacies, critical pedagogy, and discourse analysis, the study examines 49 Reddit posts by educators and identifies seven forms of erasure: epistemic labour, authentic voice, educator efficacy, trust, pedagogical method, the human-AI boundary, and institutional legibility. These themes suggest a shift from intellectual inquiry to performative fluency, where writing becomes a product rather than a process. The study argues that the risks of AI extend beyond plagiarism or misconduct, subtly altering the very meaning of learning and authorship. It highlights the need for a reorientation of assessment and pedagogy towards process, voice, and intellectual depth, urging educators to prioritise the labour of thinking over algorithmic correctness in an increasingly automated educational landscape.

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Publication Details

Journal
Teaching in Higher Education
Published
2026-08-25
DOI
https://doi.org/10.1080/13562517.2026.2707601
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Academic erasure: the disappearance of complexity under AI-supported writing

Christopher O. Nwagboso, Sunday Atuba
Teaching in Higher Education
Artificial Intelligence in Healthcare and Education
article

Academic erasure: the disappearance of complexity under AI-supported writing

Christopher O. Nwagboso, Sunday Atuba
article en

Abstract

This paper introduces the concept of ‘academic erasure’ to describe how generative AI tools, while producing fluent and compliant writing, undermine the critical thinking and epistemic labour traditionally associated with academic work. Drawing on academic literacies, critical pedagogy, and discourse analysis, the study examines 49 Reddit posts by educators and identifies seven forms of erasure: epistemic labour, authentic voice, educator efficacy, trust, pedagogical method, the human-AI boundary, and institutional legibility. These themes suggest a shift from intellectual inquiry to performative fluency, where writing becomes a product rather than a process. The study argues that the risks of AI extend beyond plagiarism or misconduct, subtly altering the very meaning of learning and authorship. It highlights the need for a reorientation of assessment and pedagogy towards process, voice, and intellectual depth, urging educators to prioritise the labour of thinking over algorithmic correctness in an increasingly automated educational landscape.

Teaching in Higher Education
University of the West of England (GB), Nottingham Trent University (GB)
Quality Education
Openalex Percentile: Top 14%
Artificial Intelligence in Healthcare and Education
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