Mitigating Security and Privacy Risks in Rapid AI System Deployment:  Michigan’s Approach to GenAI

Thursday, May 02, 2024 | 4:15PM–5:00PM CT | Regency, Second Floor
Session Type: Breakout Session
Delivery Format: Presentation/Panel Session
Join us as we discuss the University of Michigan's proactive methods for ensuring GenAI security and privacy. Learn how our approach, developed before the release of NIST’s guidelines, supports well-managed AI implementations, with focus on data security and privacy, robust deployments, and continuous monitoring. See how this critical framework can inform a secure, privacy-forward AI rollout at your institution. Together, let's steer safer paths in the advancement of AI technologies in higher education.

Presenters

  • Don Lambert

    Director of AI Services, University of Michigan-Ann Arbor

  • Jen Wilkerson

    IT Product Engagement Lead, University of Michigan-Ann Arbor

Resources & Downloads

  • ITS AI and Privacay

    Updated on 4/24/2024