Believing we already know enough about AI can blind us to new insights. As a leader, you foster a “beginner’s mind” across your community—an attitude of curiosity and openness. During AI professional development sessions, you invite participants to share one assumption they previously held about technology that turned out to be false. Teachers recount moments when they thought automated grading would undermine critical thinking, only to discover it freed them to engage more deeply with student writing. By highlighting these revelations, you underscore that true expertise arises from continuous inquiry rather than rigid certainties.
This philosophy also shapes how you approach vendor presentations and industry hype. Instead of assuming that a tool’s reputation guarantees its relevance, you lead with skepticism tempered by curiosity—asking probing questions about data sources, algorithmic transparency, and long-term sustainability. You involve a diverse task force (teachers, IT specialists, equity officers) in evaluating each claim, ensuring no voice goes unheard. Through this collective exploration, you demonstrate that acknowledging the limits of our knowledge not only guards against complacency, but also unlocks richer, more authentic innovation.
Stay curious and hollow out assumptions; only then can true learning flow.