Latest posts
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Your Students Are Already Using AI You Cannot See
95% of students use AI. 38% say their institution provides it. The gap is not a policy problem you can close with a rule — it is a provisioning problem, and it is costing you visibility you already need.
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How Current Is Your Higher Education Data? Publication Lag by Source Type (2026)
The official enrolment figure released in November 2025 describes the 2023/24 academic year. If your strategy paper treats it as current, it is two years behind the students it describes.
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Student AI Use in 2026: What the Numbers Actually Measure
94% of students use generative AI for assessed work. 12% directly include AI-generated text. Those two figures come from the same survey, and confusing them has driven a great deal of institutional policy.
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Procurement Questions to Ask an AI Writing Vendor: A Question Bank for Universities (2026)
Forty-one questions to send in writing before any demonstration, grouped by the committee that will ask them — and the four whose answers most often end an evaluation.
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Academic Integrity Platforms in 2026: What Changed, and What Your Renewal Checklist Should Say
One product in the standard comparison set was withdrawn on 30 June 2026, and one major vendor sells both an AI detector and an AI humanizer. What an evidence-based renewal review should actually check.
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How to Run a Data Protection Review Before Deploying an AI Writing Tool (2026)
A step-by-step data protection review for an AI writing deployment, covering the UK DPIA route, the FERPA rights-holder rule US institutions get wrong, and the AI literacy duty on deployers.
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How to Run a Departmental Pilot of an AI Writing Tool (2026)
A pilot that cannot fail is not a pilot. Eleven steps with the owner and the artefact for each, sized to one academic term and one department.
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What Should a University AI Policy Include? A Component Checklist for 2026
Most institutional AI policies fail on the same three components: they set one rule for every assessment, they leave disclosure undefined, and they say nothing about burden of proof.
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Is AI Detection Reliable Enough to Base a Misconduct Case On? (2026)
A detector score is a probability, not evidence of intent. What a 1% false-positive rate means at institutional volume, and what a defensible integrity process looks like without one.
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