In this episode, Alex sits down with Al Kingsley MBE, author, CEO, and governance expert, to explore one of the most pressing questions in education today: what happens when schools let AI lead without oversight?

From building universities to shaping national education policy, Al brings decades of experience to unpack how schools can navigate the balance between innovation and integrity. Together, Alex and Al explore the rise of AI governance, the hidden risks of “efficiency,” and how to ensure technology serves learning—not the other way around.

Discover why schools must move beyond laminated AI policies, how to create meaningful guardrails for data and ethics, and what practical steps leaders can take to ensure transparency, accountability, and trust in their AI use.

Key Ideas
🧭 Weaponising AI: How control gets rebranded as “efficiency” and what that means for decision-making in schools.
⚖️ Guardrails, Not Handcuffs: Why safe AI use requires boundaries, explainability, and human oversight.
💡 From Policy to Practice: Turning compliance documents into living frameworks that evolve and improve.
🌐 Student Voice & Digital Citizenship: Why young people must become active participants—not passive users—of AI.
📊 The 8-Step Governance Framework: A practical roadmap for leaders ready to start responsibly.
🔁 Review & Renew: Why AI strategy should never be “set and forget.”

Best Moments💬 “If you want to weaponise AI, you simply rebrand control as efficiency.”
💬 “Guardrails don’t limit innovation—they protect it.”
💬 “A policy no one reads isn’t governance, it’s wallpaper.”
💬 “Students can’t challenge bias they don’t understand.”
💬 “AI governance starts with one question: why are we using this tool?”

About the Guest
Al Kingsley MBE is a respected education leader, author, and CEO. With over 30 years’ experience bridging business, governance, and edtech, he chairs multiple education boards and has helped shape school systems in the UK and beyond. His work focuses on building ethical, transparent, and sustainable AI practices that support learners, staff, and communities.

Connect and Contact🎙️ The International Classroom📸 Instagram: https://instagram.com/theinternationalclassroom💻 LinkedIn: https://www.linkedin.com/in/alexandergray84/🌐 Website: https://deepprofessional.com

👤 Al Kingsley🌐 Website: https://alkingsley.com💼 LinkedIn: https://www.linkedin.com/in/alkingsley/

In this episode, Alex sits down with Victoria Hedlund—better known as “Bias Girl”—to explore one of the most urgent challenges in education today: how do we confront bias in AI before it reshapes teaching and learning in ways we can’t undo?

From lightbulb analogies that turn into “sparkle fairies” and “racetracks” to the dangers of students using chatbots as uncritical tutors, Victoria reveals how bias creeps into classrooms at the student, teacher, and leadership levels. Together, Alex and Victoria dig into the risks of leaving teachers and learners to “just get started” with AI, why oversight and safe experimentation are essential, and how new roles like Bias Officers could soon become standard in schools.

Discover why “personalization” may limit choice while “customization” empowers it, how AI can fail neurodiverse learners, and why the real future of teaching lies in human relationships, trust, and critical thinking.

Bias in Action: From sparkle fairies to racetrack metaphors, AI reveals its hidden stereotypes when given vague prompts.
Oversight is Everything: Leaving students or teachers unsupervised with AI is a recipe for inequity.
Customize, Don’t Personalize: True equity comes from giving learners choice, not narrowing their paths.
Neuro-Normative Blind Spots: Many AI tools assume linear, neurotypical thinking—leaving others behind.
Future Roles: Schools may soon need Bias & Equity Officers to track and manage AI use.
Relationships Matter: AI can support, but it can’t replace the motivation and trust teachers provide.

Best Moments
💡 “Critical oversight is my thing.”
💡 “Comfort is the enemy of progress.”
💡 “AI is another voice in the room.”
💡 “Personalization takes away choice—customization empowers it.”
💡 “Teachers don’t just deliver content—they manage motivation and identity.”

About the Guest
Victoria Hedlund is an educator, researcher, and advocate known as “Bias Girl” for her pioneering work on uncovering and mitigating bias in AI systems. She is the co-creator of LessonInspector.ai and founder of GenEd Labs, where she helps educators critically engage with AI tools and rethink teacher training for the AI era.

Connect and Contact

The International Classroom:
📸 Instagram: ⁠https://instagram.com/theinternationalclassroom
💻 LinkedIn: ⁠https://www.linkedin.com/in/alexandergray84/
🌐 Website: ⁠https://deepprofessional.com/

Victoria Hedlund:
💻 LinkedIn: ⁠https://www.linkedin.com/in/victoriahedlund/
🌐 Website: ⁠https://genedlabs.ai

In this episode, Alex sits down with Darren Coxon, an educator-turned-AI builder, to explore one of the most provocative questions facing schools today: should we stop teaching teachers how to use AI—and start exploring how to build with it?

From vibe coding experiments to creating his own education platform, ClassForge, Darren shares his journey from headteacher to developer and why he believes the real future of AI in education lies in what he calls “cybernetic classmates.” Together, Alex and Darren dig into the moral obligation of preparing students to partner with AI, the challenges of building safe tools, and the risks of ignoring the pace of change.

Discover why schools must unlearn outdated practices, what’s holding teachers back from experimenting, and how AI might not replace great teachers—but could easily replace poor teaching.

Small Tech for Schools: The real opportunity isn’t in big corporate AI platforms, but in schools creating their own bespoke, lightweight tools.

Cybernetic Classmates: Students need AI as partners in learning—used as unblockers, coaches, and collaborators rather than shortcuts.

Vibe Coding Explained: Teachers don’t need to become full developers—AI can write the code, while educators act as architects and problem-spotters.

Unlearning Old Habits: Reporting, one-size-fits-all assessments, and legacy systems are barriers; schools must clear space to let AI redefine processes.

The Hardest Part of Building: Coding with AI is like “herding amnesiac cats”—but the payoff is powerful new platforms that can adapt to learners in real time.

AI and Teachers: AI won’t replace the human connection, but it could make poor teaching obsolete. Great educators who embrace AI will thrive.

Building for the Next Model: As Anthropic’s Dario Amodeo suggests, build today with the next model in mind—because what’s impossible now may be unlocked in months.

Best Moments

💡 “The only way to leverage AI is to put it in the hands of students.”💡 “We’re teaching kids to fish in a river where a dam is being built upstream.”💡 “Vibe coding makes you the architect, not the coder.”💡 “AI won’t replace great teachers—but it could replace bad teaching.”💡 “If you’re building with AI, you’re really just herding amnesiac cats.”

About the Guest

Darren Coxon is an educator, writer, and AI builder. A former headteacher and international school leader, he now focuses on creating practical AI tools for schools, including the ClassForge platform, designed to give students safe and meaningful ways to work alongside AI.

Connect and Contact

The International Classroom:📸 Instagram: https://instagram.com/theinternationalclassroom💻 LinkedIn: https://www.linkedin.com/in/alexandergray84/🌐 Website: https://deepprofessional.com/

Darren Coxon:💻 LinkedIn: https://www.linkedin.com/in/darrencoxon/