Search

Results for research

• AI, Copyright and Student Work: Why the UK’s U‑Turn Matters (1/4)

  For a while, it looked like AI developers might get a broad “free pass” to train on almost anything they could scrape. That idea has now been quietly parked. The UK government’s latest report on copyright and artificial intelligence signals a very different direction – one that matters a lot if you’re responsible for student work and assessment.

• Beyond GDPR: Using the UK AI Product Safety Standards to Judge Your Assessment Tools

  In this series, we’ve been arguing that sovereignty is the only sustainable path for professional judgment in an agentic world. We started by looking at the infrastructure we’ll need for sovereign intelligence, then at the difference between sovereign systems and AI wrappers, and most recently at dark patterns that steer people into feeding someone else’s models.

• The Sovereign Exit: Why Portability is the Ultimate Trust Test

  In our series on digital sovereignty, we have explored how "Harvesting Models" use dark patterns to bypass consent and how "AI Wrappers" quietly extract value from your institutional judgment data. But there is one final, definitive test of a vendor’s intent: What happens when you want to leave?

• Dark Patterns in AI Assessment: When “Consent” Steals Your Sovereignty

  In earlier posts we argued that sovereignty is the only sustainable path for professional judgment, and that organisations need infrastructure which lets them own and operate their own intelligence.

• Skills England's New Framework – Why human judgement matters more than ever

  In November 2025, Skills England released the UK Standard Skills Classification (UK‑SSC): a comprehensive mapping of 3,343 occupational skills, 4,926 knowledge concepts, 21,963 occupational tasks and 13 core skills, linked across occupations, qualifications and sectors. It is, on one level, a triumph of infrastructure thinking. For the first time, employers, course designers, policy makers and learners have a shared vocabulary to talk about what "skills" actually are.

• ChatGPT Three Years On: What Next for Assessment?

  ChatGPT’s first three years have turned AI from a cheating problem into an ecosystem question: who sets the standards, how are they maintained, and how do humans and machines share the work of judging quality in a world where generative tools are everywhere. The next phase for assessment is not about banning AI or handing it the keys, but about building a visible “consensus layer” of human judgement that continuously steers and validates AI at scale.

• Meritocracy in selection - the efficiency paradox of selecting and hiring in the age of AI (1/3)

  Recent analysis from the Financial Times, in their article "The AI Shift: Is hiring becoming less meritocratic?", raises a critical question that resonates across education, corporate recruitment, and competitive admissions: as generative AI becomes ubiquitous in application preparation, how can organisations maintain genuine meritocracy in selection? The answer lies not in fighting AI, but in fundamentally rethinking how we assess talent.

• Blog Series Introduction: Can We Trust AI to Understand Value and Quality?

  Artificial intelligence is becoming deeply embedded in how we teach, learn, and assess. But as LLMs and automated marking tools step into spaces once reserved for humans, a fundamental question emerges: can AI truly understand what we mean by quality and value?

• RM Compare Newsletter - July 2025

  Welcome to the latest RM Compare newsletter

• RM Compare Newsletter - June 2025

• Previous
• Next