Sessions use campus examples to discuss practical tradeoffs, with measured results where available. These topics are starting points for a session shaped around your audience.
Institutional AI: From Pilot to Service
How UC San Diego developed an institutional AI service from an early pilot. Covers architecture, governance, on-premises hosting, and lessons from campus use.
Audience takeaway: What it takes to move from a pilot to a supported campus service.
Agentic AI Workflows in Higher Education
How supervised AI agents are being tested in administrative workflows, including contract review, financial data questions, and transcript matching. Covers controls, review, and measured results.
Audience takeaway: How to choose a workflow with clear limits and decide where human review belongs.
AI Governance in Practice
A practical look at data classification, review, and guardrails for institutional AI. Includes where governance has helped and where questions remain unresolved.
Audience takeaway: Questions to ask about data access, oversight, and responsibility before expanding use.
The Citizen Developer Program
How UC San Diego supports staff, researchers, and faculty as they build AI tools. Includes credits, templates, guardrails, and the steps from an idea to a supported application.
Audience takeaway: How to support people building tools without leaving each department to manage its own platform.
AI as Institutional Infrastructure
How shared AI infrastructure can support campus services while reducing duplicated setup across departments. Includes examples from UC San Diego and peer institutions using related approaches.
Audience takeaway: How to compare shared services, local hosting, and cloud access against institutional needs.