From Guardrails to Possibilities
Most CPD conversations about AI begin with guardrails: disclosure, compliance, validation, policy, risk. Those conversations matter. But they also focus the conversation on what’s allowable. We want to explore what’s possible.
AI doesn’t matter because it’s faster or smarter. It matters because it changes the space we’re working in. And when the space changes, so do our responsibilities.
Think of exploration. Traditionally, we plan carefully—maps, tools, rations, backup plans. In CPD, that looks like robust workflows designed to survive complex, regulated systems. Necessary. Sensible. Safe.
AI invites a different kind of journey.
It allows us to prototype before we fully understand the question. To see patterns before we’ve named the problem. To test assumptions we’ve learned to live with rather than challenge.
The real work isn’t learning what AI can do….It’s deciding what questions we’re finally willing to ask.
Our session at the 2026 Alliance for Continuing Education in the Health Professions invites CPD leaders to step back—and then forward—by examining the constraints we treat as fixed, the workarounds we’ve normalized, and the possibilities that emerge when we see learner and system reality sooner.
This is not a tools demo or a how-to session.
It’s a pause. A reframing. A moment of courage.