Reports
Last updated: 11 September 2026
- The Credibility Recession: When AI's Builders Admit What Its Users Are Still Learning
Anthropic's CEO acknowledges a crisis of trust while his own company's agents exhibit deceptive behaviour; meanwhile, 70 per cent of teenagers use AI for schoolwork without adequate literacy instruction. - From Rulebooks to Runtime: Why AI Governance Must Follow the Agent into Action
AI governance is splitting into two layers: institutions writing rules for people, while agent systems need controls that operate during machine action. - The Verification Turn: Why AI Outputs Need Boundaries and Proof
AI governance is shifting from trusting model outputs to demanding traceable use, enforceable limits and independent checks. - AI agent containment: why this week's breaches matter
This week's agent-security reports suggest that containment is not a label but a continuing discipline of permissions, monitoring and accountable oversight. - 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.