If you’ve ever wondered how to actually use AI safely and effectively in your teaching, this episode is for you.

Today I’m joined by Matthew Wemyss, international school leader and bestselling author on AI in education, to dig into the realities of AI in schools: the opportunities, the risks, and the mistakes teachers need to avoid.

We talk about:
• The GDPR traps teachers fall into without realising
• What you must not upload into AI tools
• How to reduce AI bias in your resources
• Which AI tools are safest for schools (Microsoft Copilot, Gemini, NotebookLM)
• Why AI should support teacher autonomy, not replace it
• How to turn your existing teaching into more efficient, higher-impact practice
• How students’ use of AI is already shaping classrooms
• The future of AI governance in schools

Whether you’re experimenting with AI or still feeling cautious, this episode gives you the clarity you need to feel confident, protected, and efficient.

Listen in and learn: how to use AI, how not to use it, and how to keep your workload under control without compromising student data or safeguarding.

Matthew Wemyss Linkedin

Books

If you’ve ever wished your planning, marking, or resource creation could take minutes instead of hours, this episode is for you.

I sat down with AI educator John Dolman to explore Notebook LM, Google’s grounded AI tool that lets you upload your teaching materials and instantly generate:

• lesson notes

• revision summaries

• infographics

• slide decks

• audio explanations

• and more

We break down exactly how teachers can use Notebook LM to streamline workload without losing professional judgement, and we share the features most people don’t even know exist yet.

Whether you teach GCSE, A level, or beyond, this conversation will give you practical ideas you can use tomorrow.

AI is transforming teaching... planning, marking, differentiation, feedback.

But what if the tools we rely on are reinforcing hidden biases?

In this episode, I sit down with Victoria Hedlund, physicist, former science teacher, and AI bias researcher, to explore the uncomfortable truth about gender, race, age, and neurodiversity bias inside the AI models used across schools.

We discuss:

• Real examples of AI bias in images, explanations, and feedback

• How AI tools shape student identity and self-perception

• Why different models (ChatGPT, Gemini, Canva, Copilot) show different biases

• The risks teachers don’t realise they’re taking when using AI without oversight

• Practical ways to protect students and reduce bias in everyday teaching

Victoria’s book, AI Bias in Education, and what it will mean for schools If you’re a teacher, leader, or anyone using AI to support learning, then this episode is essential.