Blog
Posts for category: Opinion
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The Validation Layer: Why AI Needs a Human Anchor to be Safe
We are currently living through an "Assessment Arms Race." On one side, students and job candidates are using Generative AI (like ChatGPT) to produce "perfect" essays and CVs in seconds. On the other side, institutions are rushing to buy AI marking tools to grade that work just as fast. It is a closed loop of machines grading machines. And in the middle of this loop, the human element - the actual understanding of quality - is quietly disappearing.
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The Myth of the "Perfect Photo": Why Mobile Capture can be Fairer, Faster, and Just as Reliable
We assume that a blurry photo hides the quality of the work. We assume that if a drawing is photographed under yellow classroom lights, the examiner will think the drawing itself is yellow. We assume that Image Quality = Assessment Quality. But science suggests we are worrying about the wrong thing.
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Why You See a Cup, but AI Sees Pixels: The "Amodal" Secret to Reliable Assessment
Look at the header image above. What do you see?
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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.
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ChatGPT Three Years On: What Next for Assessment?
Three years after the launch of ChatGPT, generative AI is reshaping assessment, but the picture is neither apocalyptic nor trivial. Students and teachers are using AI tools daily, and assessment providers like RM Assessment are working hard to turn this disruption into lasting improvement across fairness, speed, and insight.
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From Mastering Change to Leading It: Why the Awarding Sector Must Step Up at FAB 2025
The Chancellor demands productivity. NFER warns up to three million jobs may disappear by 2035. As FAB 2025 opens, it’s time for the sector to do more than just “cope” - it’s time to lead.
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Restoring Trust in Meritocracy: How organisations Are Fighting Back Against the Assessment Crisis (Blog 3 / 3)
In our first two blog posts, we documented the crisis: groundbreaking research from Princeton and Dartmouth showing how generative AI has destroyed the signalling value of written applications , and explored why this threatens educational meritocracy and demands new assessment approaches . The evidence is overwhelming. The consequences are severe. Traditional written signals no longer work.
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Meritocracy in selection - the efficiency paradox of selecting and hiring in the age of AI (1/3)
The rise of generative AI in recruitment able to craft convincing CVs, cover letters, and even interview responses has triggered profound changes in how talent is identified and selected. With traditional signals of merit increasingly at risk of manipulation or obsolescence, forward-thinking organizations are searching for dependable, evidence-driven alternatives to ensure fairness and real quality in assessment.
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It’s time ... for assessment everyone can access
True educational transformation is only possible when every learner, teacher, and leader is supported by assessment systems that are accessible, fair, and adaptable to all needs. Traditional approaches too often leave out those who learn, communicate, or create in different ways. The future must be truly inclusive, meeting people where they are and how they learn.