AI exams

AI in Exams: How Technology Detects Cheating and Plagiarism

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AI in exams uses a layered approach—plagiarism checks, proctoring signals, authorship analysis, and policy-backed oral verification—to detect misconduct while aiming to protect privacy and fairness. The most robust setups combine similarity matching (for copy-paste), behavior analytics during exams, and post-exam authorship checks, with clear rules that no single AI flag is treated as conclusive evidence … Read more

AI and the Future of Exams: Can Machines Evaluate Humans Fairly?

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AI can grade certain tasks reliably and at scale, but fairness depends on rigorous validation, transparency, and continuous bias checks—with humans retaining authority over high‑stakes decisions.​ What AI can grade well The fairness problem How to evaluate fairness and validity Governance and rights Where humans must stay in the loop 30‑day pilot for fair AI … Read more