What is it about?
This study investigates whether ChatGPT can function as a reliable and fair evaluator of student academic work in higher education, with particular attention to grading reliability, evaluative validity, and potential bias across social science disciplines.
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Why is it important?
The study empirically advances understanding of the reliability–validity paradox in AI-assisted assessment by demonstrating that grading consistency does not equate to pedagogical fairness, positioning leniency bias as a structural outcome of large language model design rather than random error.
Perspectives
Practical implications ChatGPT is best suited for formative feedback and diagnostic support, not summative grading. Institutions should adopt calibrated human–AI hybrid assessment models and clear governance frameworks. Social implications Unregulated AI grading risks normalizing grade inflation and misrepresenting academic achievement, potentially undermining trust in educational credentials.
Dr Hisham Al Ghunaimi
Read the Original
This page is a summary of: Reliable but not rigorous: Evaluating ChatGPT's reliability, validity, and bias in automated academic grading, Social Sciences & Humanities Open, June 2026, Elsevier,
DOI: 10.1016/j.ssaho.2026.102788.
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