AI in Assessment: What Does It Mean for Vocational Education and Training?
Artificial intelligence is beginning to change how assessments are […]
AI: A threat to knowledge and skills
Last week I was talking online with a friend […]
UNESCO’s AI Consultation Asks a Harder Question: What Is Education For?
AI governance in education is not chiefly about choosing […]
Three Frameworks are Enough
There is no shortage of frameworks for artificial intelligence […]
What Will AI Transparency Mean for Schools?
The European Union’s AI Act is beginning to turn […]
From Learner Agency to Civic Agency: The limits of the “human in the loop”
I have written before about the importance of agency […]
Open-Source AI or Open Weights? Why the Difference Matters for Education
I am often asked about the difference between open-source […]
The First Rung in the AI Economy: What Should Universities Prepare Graduates For?
Universities UK’s new Future Jobs Roadmap arrives at an […]
Open Source AI Is Becoming Infrastructure – but Words Matter
I have been arguing for some time that open AI matters. Not because every model should be treated as risk-free, and not because openness magically solves questions of bias, safety, energy use or power. It matters because AI is becoming part of the basic infrastructure through which organisations work, learn and communicate. If that infrastructure is controlled by a small number of companies, accessed only as a rented service and governed through terms that can change without notice, then users have little real agency. That is why a recent interview with Raffi Krikorian, Mozilla’s chief technology officer, caught my attention. […]
