The rapid growth of Artificial Intelligence (AI) is creating both excitement and angst on where and how to begin safe, effective integration. While there are many ways AI can be applied, these suggestions are focused on educational delivery. For those who have begun applying and engaging student-facing AI, the vertical evolution requires structured and continuous development of institutional-level AI governance to maintain safe and ethical use. Governance structures should consider continuous growth of policies, guidelines and directives for use, approval processes, and staged training for faculty, staff, and students based on the speed of changes occurring in the market. 

Lacking or vague policies, structure, or training approaches may leave administrators, faculty, and students without the guidance needed to reap the benefits of AI use. Lacking governance structures or broad policies may unintentionally promote unsafe or unethical use of AI on the part of students, faculty, staff, and instructional designers who may not have the proper guidance to integrate. This can lead to compromised course design and program content, AI hallucinations, misinformation, and privacy breaches to proprietary university content, impacting the university and quality of education. 

Regardless of how long you served as an instructional faculty member, as the institution’s Chief Academic Officer, you are no longer part of that club. You still work with and among faculty but make no mistake: You don’t have the same relationships that you previously did. You may have served as a department head or dean and think you are used to changing interactions with faculty, but the CAO role holds a specific set of foibles.

This doesn’t mean you can’t have a collegial association with your faculty; that mutual respect and commitment is more important than ever. But your interactions, communications and overall association is different and more delicate. Keep these three things in mind as you consider your own connections with faculty.