GenAI in Academia: A Collaborative Approach to Security and Privacy Risk Assessment

Tuesday, May 20, 2025 | 10:30AM–11:15AM ET | Harborside Ballroom A, 4th Floor
Session Type: Breakout Session
Delivery Format: Presentation/Panel
Generative AI (GenAI) tools offer exciting opportunities for higher education, but also introduce novel security and privacy risks. This session shares the experience of the Rochester Institute of Technology (RIT) Artificial Intelligence Safety and Security Advisory Committee (AISSAC) in developing a practical risk assessment and mitigation framework. We will focus on key findings related to fraud, data security, and unauthorized access, as well as ethical, legal, and privacy concern, and will present actionable strategies for mitigating these risks. Attendees will gain a clear understanding of how to proactively address GenAI challenges and responsibly embrace its potential.

Presenters

  • Tina Oware

    INFORMATION SESURITY RISK AND COMPLIANCE ANALYST, Rochester Institute of Technology

  • Ben Woelk

    Governance, Awareness, and Training Manager, Rochester Institute of Technology

Resources & Downloads

  • GenAI in Academia Presentation Slides

    Updated on 6/14/2026