The Generative Ai Inclusion Threshold Framework (GAiIT)
5 Levels
Simple and easily defined for instructors to include to limit or expand on Ai inclusion.
Samples
See worked out examples of each GAiIT 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 GAiIT solves problems involving Ai Inclusion or exclusion from academic work and best practices for addressing academic trust issues.
Download the complete explanation of the GAiIT framework and now can be applied in a variety of academic environments.
One of the GAiIT 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 GAiIT expectations?
GAiIT Presentation @ HEC 2025
This detailed introduction to the GAIiT 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 GAiIT
Led by Dr. Torrence Temple, meet the team that helped forge a new vision for Ai use in the university setting.
