
University lecturers are increasingly seeing their own teaching materials uploaded into AI tutoring tools without permission. While AI can provide valuable one‑to‑one support, it also learns from lecture slides, recordings and practice questions, potentially reproducing content and even the lecturer’s voice. This raises copyright concerns, especially as publishers have already signed deals allowing AI firms to train on academic works. The article calls for updated policies and legal protections to safeguard the originality that distinguishes higher education from generic AI instruction.

Universities UK launched the Future Universities campaign to align higher education with a rapidly changing labour market. Government forecasts predict that by 2035, 88% of new jobs will require graduate‑level skills, creating a need for more than 11 million additional graduates....

The article argues that evidence‑based teaching cannot become standard without dedicated funding for discipline‑based education research (DBER) in the UK. It highlights how the pandemic, generative AI, and mounting pressures on universities expose the fragility of teaching that relies on...