As AI moves from experimentation to institutional reality, higher education leaders face a critical shift: moving beyond compliance-driven adoption toward purposeful, mission-aligned transformation.

This session explores how institutions can lead authentic assessment and student learning transformation in the age of AI, without compromising academic integrity, equity, or accreditation expectations. Drawing on real institutional experience, the session will examine how leadership teams are reframing AI not as a standalone tool, but as an enabling capability that supports evidence-based decision making, student success, and meaningful learning outcomes.

The presenters will share a practical partnership case study focused on authentic assessment, including early insights from AI-supported tutoring in traditionally challenging disciplines such as mathematics and chemistry. Attendees will gain frameworks for evaluating AI readiness, aligning AI use with institutional goals, and responsibly piloting emerging technologies that enhance learning while meeting accountability and quality standards.

The session will conclude with a moderated discussion and audience Q&A, inviting participants to reflect on how their institutions can move from policy and compliance toward sustainable, strategic AI leadership.