AI as a test of educational purpose
The live AI in Education topic treats artificial intelligence less as a novelty than as a stress test for academic integrity, assessment, and institutional judgment. The strongest thread is not panic about cheating alone, but a refusal to accept detection software as an easy answer.
Flintoff’s selections keep returning to the human cost of automation: staff workload, AI marking, student anxiety, and the changing status of writing. The question underneath is practical and philosophical at once: what should education still ask people to do for themselves?
The topic also follows the campus-level consequences of AI. Libraries, faculty development, classroom tools, and AI-assisted teaching models appear as signs that governance now has to sit beside pedagogy.
- Further reading
- Our research shows how AI is getting better at exams. Here’s how unis can respond
- Unis and schools are moving away from AI-detection software. They should stop using it altogether
- From Fear to Fluency: Helping Faculty Navigate AI
- From Search to Strategy: What Student AI Use Means for the Future of Academic Libraries
- The Agentic Professor: Exploring GenAI-Supported Futures in Higher Education
- New research shows students experience extreme anxiety when accused of academic misconduct. Unis can do more to help them