Reports
Long-form research pieces and weekly synthesis writing
Last updated: 22 July 2026
Longer-form analysis: deep dives that synthesise a week’s research into a single, properly-referenced piece of writing. Unlike the blog, which tracks individual stories as they happen, this section steps back and looks for the pattern underneath.
- How Top Universities Actually Regulate Generative AI
A 2026 survey of top-20 research universities' generative-AI policies shows a spectrum from prohibition to permitted-with-disclosure, not a single model. - The EU AI Act and the Classroom: What Changes for Assessment and Detection
The EU AI Act treats exam monitoring and grading as high-risk, and the literacy duty is already live. What that means for assessment and AI detection tools. - The Knowledge Governance Gap: Institutions Are Improvising While AI Reshapes How Knowledge Is Made
From classrooms to codebases, AI is already inside knowledge work while schools, journals, and governments still improvise their response. - The Verification Gap: How AI's Credibility Crisis and Higher Education's Integrity Crisis Reveal the Same Failure
AI's credibility crisis and higher education's integrity crisis are the same failure: deployment outrunning verification, with the cost visible in both places. - AI Literacy in Education: Turning a Global Framework Into Classroom Practice
The OECD and European Commission AI Literacy Framework sets out four domains and 19 competences. The harder question is turning it into classroom practice. - The Runbook Becomes a Skill: Teaching a Cheaper Model to Do Expert Work
When a capable AI model writes down how a task is done, its steps, failure modes and checks, a cheaper model can execute it and still do excellent work. - The AI Agent Reality Check: Why 2026's Mid-Year Promises Met Hard Problems of Memory, Accountability, and Judgment
Six months after predictions of AI agents replacing workers, the evidence differs: Zuckerberg concedes progress has lagged and hard infrastructure gaps remain. - The Deployment Dilemma: When AI Safety Cannot Keep Pace with Commercial Ambition
Analysis of the accelerating gap between AI capability deployment and safety characterisation