Rethinking AI at the Institutional Level: Policy, Workload, and Student Success
Learn how to lead an AI strategy that reduces burnout, builds trust, and protects authentic learning.
Register today.The rapid proliferation of generative AI is no longer just a classroom challenge. It is an urgent strategic issue for the higher education sector.
Faculty are facing severe burnout from the growing administrative burden of policing artificial intelligence (AI) and investigating academic integrity cases, while students are experiencing heightened anxiety and a breakdown in trust due to the threat of false positives.
This webinar will shift the focus from reactive detection to proactive, human-centered institutional strategy. The panel will explore how leadership can guide sustainable AI policy and bridge the gap for students and faculty. Join us to discuss high-level approaches to managing faculty workload, mitigating student success risks, and leading campus-wide change management that prioritizes authentic learning, equity, and trust over surveillance.
Who should attend:
- Presidents/chancellors
- Provosts
- Academic integrity directors
- Student success directors
- Teaching and learning professionals
- Faculty
Benefits of participation:
- Compare how peer AASCU institutions are drafting and implementing flexible AI guidelines that protect academic integrity without creating institutional liability or overly prescriptive mandates
- Identify leadership strategies to support faculty through the AI transition, redirecting institutional energy away from the exhaustive policing of AI and toward sustainable assessment design
- Understand the downstream impacts of AI detection on student mental health, retention, and equity, particularly regarding the systemic risks of false accusations
- Formulate high-level strategies to guide your institution away from a punitive culture and toward a collaborative environment focused on AI literacy and mutual trust
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