AI has sparked fear, urgency, and a wave of reactionary policies in schools, but what if the real issue isn’t the technology itself? In this episode, Tom and Natalie argue that AI didn’t break assessment; it exposed long-standing weaknesses in task design, clarity, and how we define academic integrity. Rather than framing AI as a cheating problem to be solved through bans and detection tools, they invite listeners to reconsider what meaningful evidence of learning actually looks like in an AI-present world.

Through real-world composite examples and reflective dialogue, this episode reframes academic integrity as a design and culture issue, not a policing one. Tom and Natalie explore how clarity, transparency, and intentional assessment practices reduce misuse, strengthen trust, and keep learning at the center. If you’re feeling overwhelmed by AI or unsure how to respond without compromising your values, this conversation offers a grounded, assessment-literate path forward.

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