About
An ERA-curated thematic profile exploring how senior university leaders and academic administrators can guide institutions through technological and educational change. It focuses on executive decision-making, university-wide strategic coordination, governance ownership, policy implementation, and measurable institutional progress toward responsible AI readiness. Sessions examine how leaders align institutional priorities, assign responsibilities, coordinate academic and administrative functions, and turn academic AI policies into practical institutional action.
Sessions
Who Owns AI Policy Implementation Across a University?
University AI policies often involve academic leadership, faculty development, student services, technology teams, research offices, and governance bodies. Explore how leaders can assign responsibilities, coordinate implementation, resolve gaps, and monitor whether institutional expectations are taking effect.
What Should University Leaders Decide About AI Now?
Universities face urgent decisions about AI adoption, teaching, research, assessment, and institutional responsibility. Explore which leadership decisions require immediate attention and how institutions can establish clear priorities without rushing into reactive policies.
Building the Leadership Coalition for Institutional AI Change
Institutional AI readiness requires coordinated leadership across academic, administrative, technology, and governance functions. Explore how university leaders can assign ownership, align priorities, resolve competing concerns, and establish a shared programme of institutional action.