GenAI at University of Richmond

AI Usage Guidelines

Generative AI has the potential to transform the way we operate at the University of Richmond. From teaching and learning to administration, the use cases for generative AI are promising. Understanding how to use these systems ethically and securely will ensure that we are able to take full advantage of their capabilities.

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Presidential Advisory Group on AI

The Presidential Advisory Group on AI at UR (PAG-AI) is charged with developing an action plan for advancing AI at UR, including identifying areas of priority and potential use cases, implementation strategies, key colleagues to involve, key tools (both existing and new) to utilize, data collection and metrics for assessing progress, resources required, and costs and benefits of possible decisions. The group may also discuss data security and privacy considerations and make recommendations to the administration for relevant policy updates.   

The committee will have a set of initial recommendations by the end of the December 2025 and will develop a final set of recommendations by the end of March 2026.

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Learn about a new tool for experimentation in teaching & learning at the University of Richmond

Generative AI: A Brief Primer

This primer provides foundational knowledge about generative AI, covering its definition, how it works, a comparison of widely used tools, key capabilities relevant to higher education, limitations and considerations for implementation, and the potential impact areas within academic settings, ensuring everyone has a common understanding.