Defending assessment security in the age of generative AI | LARC 2025

Panel:
Ahmet Dursun, Reza Neiriz, Brent Green,
Catherine Baumann (On behalf of Nicholas Swinehart, University of Chicago)

As artificial intelligence (AI) tools become more sophisticated and accessible, concerns about academic integrity in assessment continue to grow. There is no one-size-fits-all approach to develop strategies to mitigate these concerns. This panel will explore the evolving landscape of AI and cheating, bringing together perspectives from a testing industry expert, a higher education administrator, and a faculty expert on classroom-level challenges. Panelists will examine the impact of AI on assessments, institutional policies and responses, and practical strategies for maintaining academic integrity in the classroom. The industry expert will address how AI challenges traditional assessment methods and how testing organizations are adapting to ensure the security of their standardized large-scale exams. The higher education administrator will discuss institutional strategies, including policy development, faculty support, and the role of technological solutions in mitigating AI-related cheating. Finally, a faculty expert will provide insight into classroom-level responses, exploring how AI is changing student behaviors and what instructors can do to foster ethical learning.

A discussant moderates the conversation, ensuring a dynamic exchange of ideas among panelists and engaging the audience through structured Q&A. This session aimed to provide attendees with actionable insights to uphold academic integrity in the AI era.

To contact the speakers in this video, please see the information below: (Pending)