About
One place to find Virginia Tech’s AI guidance, tools, and resources.
ai.vt.edu is Virginia Tech’s central hub for AI tools and services, organized by what you need, not by which office provides it. The site is co-managed by Technology-enhanced Learning and Online Strategies (TLOS) and the Division of Information Technology.
Resources from across the university, including from TLOS, the Division of IT, the Center for Excellence in Teaching and Learning (CETL), University Libraries, the Office of Research and Innovation, and Advanced Research Computing, are curated on this site so you can find what is relevant to your needs without navigating the organizational chart.
How Virginia Tech’s approach developed
In 2024, Provost Cyril Clarke and Chief Operating Officer Amy Stoakley Sebring chartered a 23-member University AI Working Group to develop institutional guidance for responsible AI use. The group, co-chaired by David Raymond (Division of IT) and Dale Pike (TLOS), engaged stakeholders across the university and produced the Responsible and Ethical AI Framework in September 2025. That framework includes the seven Responsible and Ethical AI Principles, governance recommendations, implementation guidance, and a policy gap analysis.
The AI Working Group completed its charge and was dissolved. IT Governance subsequently established the AI Working Committee, a standing committee that provides ongoing recommendations on AI policy, investment priorities, best practices, and risk management.
Who maintains this site?
This site is co-managed by Technology-enhanced Learning and Online Strategies (TLOS) and the Division of Information Technology, with editorial input from the AI Working Committee. Content is reviewed on a rolling basis as tools, policies, and guidance evolve.
Contributing Units
The ai.vt.edu site connects AI resources from across Virginia Tech. The following units maintain their own AI resources for their specific audiences, and this site links to them in context:
- Center for Excellence in Teaching and Learning (CETL) — AI resources for course design and instructional practice
- Division of Information Technology — Tool approvals, data classification, access and provisioning, and IT governance
- Advanced Research Computing (ARC) — AI compute infrastructure and research platforms
- Office of Research and Innovation — Research compliance, SIRC guidance, and the AI research frontier
- Technology-enhanced Learning and Online Strategies (TLOS) — AI professional development and training
- University Libraries — Guides for citing AI, evaluating AI sources, and AI in research