AI Use Cases for Accreditation
Easing the burden: explore AI use cases and prompts offering deans, administrators, and faculty actionable guidance on leveraging AI to meet and maintain AACSB accreditation standards.
What are AI Use Cases?
Use cases offer practical applications designed to address specific accreditation standards. Each use case provides targeted AI prompts to address documentation and compliance, allowing schools to manage accreditation requirements more efficiently.
Crowd-Sourced
As AI advances, so will these use cases—with your input! Share feedback on what works, suggest improvements, and contribute your own useful prompts. An embedded feedback system ensures ongoing updates, making the Hub more valuable. AACSB will regularly refresh it with the latest AI tools and best practices to keep schools informed.
Effective
Generative AI thrives on iteration—at least three refinements per prompt help shape accurate, relevant outputs. Experiment and adjust to get the best results.
Responsible
Schools must establish governance and policies for AI use, including these cases. They should supplement rather than replace the human element of accreditation by easing data gathering and manual tasks. Since most prompts require institutional data, always follow governance, privacy, and acceptable use guidelines.
Use Cases
Standard 1
Strategic Planning
Standard 2
Physical, Virtual, and Financial Resources
Standard 3
Faculty and Professional Staff Resources
Standard 4
Curriculum
Standard 5
Assurance of Learning
Standard 6
Learner Progression
Standard 7
Teaching Effectiveness and Impact
Standard 8
Impact of Scholarship
Standard 9
Engagement and Societal Impact