GAI Faculty Framework

Generative Artificial Intelligence (GAI) in Higher Education

Generative AI (GAI) is reshaping education, prompting discussions about its impact on higher education. Questions and concerns about academic integrity and trust in GAI have emerged as AI tools become more visible and accessible. It is crucial for faculty to have a clear understanding of the potential and limitations of GAI to mitigate risks and negative impacts on faculty, students, and learning. By understanding the potential and limitations of GAI, those in higher education can leverage its benefits while mitigating risks.

Development

The idea of a GAI framework arose from faculty requests for guidance on ethical GAI use. After collecting feedback at the 2024 Celebration of Innovation in Teaching and Learning on a first iteration of GAI guidelines, Butler University’s GAI Faculty/Staff Workgroup developed this Framework to provide a roadmap for Butler faculty to navigate the GAI landscape. The committee based the framework on current literature, best practices, active discussion, and industry insights.

Butler’s Faculty Framework for Generative Artificial Intelligence in Teaching and Learning

The content of the Framework offers essential guidance on ethical use and responsible integration of GAI into higher education. It outlines key principles, ethical considerations, and practical strategies for incorporating GAI into teaching, development, and more. By providing guidance and promoting open dialogue about GAI, this Framework supports faculty in creating a productive learning environment.

As GAI rapidly evolves, the Framework will be regularly reviewed to ensure its continued relevance and effectiveness in supporting faculty in creating a future-ready learning environment ethically. Comments and contestations are welcomed to continue active dialogue and shared learning. If you’re interested in having members of the GAI Workgroup speak to your college or department, please contact oeet@butler.edu.