The Generative Ai Inclusion Threshold Framework: GAiITTM)
5 Levels
Simple and easily defined for instructors to include to limit or expand on Ai inclusion.
Samples
See worked out examples of each GAiITTM Level and ideas to use Ai with students.
Ai Ethics
Discussion points on the proper use of Ai and when Ai is appropriate to use and when it is not.
Join one of many discussions about how GAiITTM solves problems involving Ai Inclusion or exclusion from academic work and best practices for addressing academic trust issues.
Download the complete explanation of the GAiITTM framework and now can be applied in a variety of academic environments.
One of the GAiITTM foundational philosophies is based on this idea the cornerstone for dealing with academic dishonesty.
What happens when students cross the line?
Bona Fide, to work "in good faith" in accordance with the expectations of the assessment rules. Most students do, but what can be done when they choose to break GAiITTM expectations?
GAiITTM Presentation @ HEC 2025
This detailed introduction to the GAiITTM Framework addresses the utility of the idea from the instructor's perspective. The GAiIT framework provides a solid foundation to build the steps necessary to ensure that both students and instructors have clear and consistent intentions for the use of Ai.
The Minds Behind GAiITTM
Led by Dr. Torrence Temple, meet the team that helped forge a new vision for Ai use in the university setting.
The Generative Artificial Intelligence Integration Threshold Framework - GAiITTM was published in September 2024. GAiITTM became a registered trademark under National University, February 2026. For information about this work and its contents, please contact Dr. Torrence Temple (ttemple@nu.edu).