AI Guidance and Faculty Resources
Access guidance, tools, and resources to support teaching, research, and academic work with artificial intelligence. This page brings together CHS-specific materials, university-wide support, and external resources to help you integrate AI thoughtfully and responsibly into your courses and scholarship.
Explore faculty resources tailored to your needs:
Use this guidance to develop clear, course-specific policies for artificial intelligence in your syllabus. It supports you in defining expectations for AI use, communicating rationale, and addressing academic integrity.
The resource includes considerations for approved tools, cost, student privacy, and ethical concerns such as bias, environmental impact, and intellectual property.
It also provides adaptable example statements for a range of approaches, including fully restricted use, limited or conditional use, and open use with attribution.
Review university-wide guidance for integrating generative AI into teaching and learning. Developed by the Office of the Provost and the Center for Teaching and Learning Excellence, these guidelines support faculty in navigating AI use in the classroom.
The resource outlines approaches to syllabus language, course design, ethical considerations, and the limitations of AI tools, while encouraging ongoing reflection and adaptation as technologies evolve.
This guidance is designed to support informed, flexible, and responsible use of AI across disciplines.
Explore VCU-approved generative AI tools that are licensed, vetted, and available for use by faculty, staff, and students. These enterprise tools are supported by Technology Services and aligned with university standards for security and data use.
The resource includes platforms such as Microsoft Copilot, Google Gemini, Adobe Firefly, Zoom AI Companion, and other supported tools, along with guidance on appropriate use and data considerations.
Requests for new or unlisted tools can be submitted through IT Governance for review and approval.
Access practical guidance for using generative AI tools effectively in teaching, research, and everyday academic work. Developed by VCU Technology Services, this resource provides foundational strategies for interacting with AI systems.
It includes prompt engineering techniques, examples of effective use across teaching and professional contexts, and guidance on limitations such as bias, accuracy, and ethical considerations.
Use these strategies to refine prompts, improve outputs, and support responsible and informed use of AI tools.
Contribute to VCU’s Generative AI Use Case Summary Catalog to help document how AI is being used across teaching, research, and administrative work. Submissions support university efforts to better understand emerging practices and community needs.
Your use case may be shared with others across VCU to increase awareness, highlight innovation, and inform future support and resources.
This resource invites faculty, staff, and students to share how AI tools are applied, including goals, processes, outcomes, and challenges.