The most substantive governance contribution of this engagement grew from a question that had no easy answer: how do we ensure students are genuinely learning, and not simply outsourcing their thinking to AI?

Drawing on empirical governance research and ongoing classroom reception analysis, Professor Warren and I co-developed the Co-Creation Framework — a pedagogical and governance model that repositioned AI as a collaborator rather than an answer engine. Students were required to submit Chain of Thought Transcripts alongside their work — documenting their prompting flow, follow-up reasoning, and how AI shaped their path to the final output. This made thinking visible, preserved critical reasoning, and created an auditable record of human-AI collaboration.

The framework received strong reception among Johns Hopkins faculty and was subsequently adopted across multiple courses. We often forget that higher academic institutions are not only research and teaching institutions — they are businesses first. And at a moment when AI is challenging every sector to fundamentally rethink its workflows, this work represented a genuine opportunity to experiment at the frontier: deploying responsible AI governance and reimagining pedagogical methods to meet both students and faculty where they are. That intersection of institutional change, human behavior, and AI systems is exactly where I operate best.