Capital University’s AI Guidebook
Capital’s AI Guidebook provides best practices, suggestions for use, resources, and activities related to using AI. The Guidebook was developed by the AI Team, whose charge was:
To develop an AI Guidebook for Capital and identify professional development sessions to help staff, faculty, and students use AI in business operations, work processes, and academic and scholarly activities in ways that maintain student and employee privacy and support the integrity of the work we do.
Development of the AI Guidebook was driven by several Guiding Principles as well as survey data provided by Capital staff and faculty (fall 2024) and Capital students (spring 2025). Guidebook sections were distributed to the campus community for review and input prior to publication. Suggestions for improving and updating the Guidebook can be sent to CELT@capital.edu.
The AI Guidebook has the following sections:
Ethical Considerations of Generative AI
- Security Risks
- Global Community Impact
- Environmental Impact
- Labor Impact of AI Tools
- Availability and Accessibility of AI Tools
- Bias within AI Tools
- Academic Integrity and Student Learning
- Cognitive Impact of Outsourcing Writing, Research, and Organizing
Generative AI Tools
- University Approval and Adoption Process for AI Tools
- GenAI Tools
- Building Effective Prompts
- Developing a Prompt Library
- Prompt Engineering Resources
- Creating an AI Community of Practice
- Professional Development Resources
- Supplemental Training Resources
Using Generative AI in Administrative Tasks
- Best Practices
- Examples of Acceptable Use
- Troubleshooting
- How do I get started with using AI for administrative tasks?
AI for Teaching and Learning
- Course Policies
- Best Practices for Faculty
- How do I use GenAI in my classes?
- Ways to us AI in Classes
- Where do I start?
Using Generative AI in Scholarly Research
- Best Practices
- AI in Libraries and Research
- Maintaining Authorship
- Integrity/Accountability of Work
- Citation Guidelines
Additional AI Resources:
- AI resources for staff and faculty are available on the Academic Resources page in Capital’s SharePoint site (requires authentication).
- Capital Law School AI Resources
- Digital Education Council’s AI Literacy Framework
- The 2025 Student Guide to Artificial Intelligence