AI Literacy at UMB

Artificial intelligence is becoming part of how we work, teach, learn, conduct research, and access information. Understanding a few key terms can help you choose the right AI resource, recognize what different AI technologies do, and use AI responsibly.

AI Models, Tools & Solutions

At UMB, it is especially helpful to understand the difference between an AI model, AI tool, and AI solution.

AI models provide the underlying technology that processes information and generates responses or predictions. Models provide the intelligence behind many AI experiences.  Examples include models from OpenAI, Anthropic, Google, and Microsoft.

Common AI Terms

You don't need to be an AI expert to use AI effectively. Knowing these terms can make it easier to understand the technology and make informed choices.

Using AI Responsibly at UMB

AI literacy is not only about understanding technology. It also means knowing how to use AI appropriately and protect university information.

Know Your Data

Before entering information into an AI tool, understand how that information is classified and whether the tool is appropriate for that data. UMB's AI guidance uses three data classifications: Level 0 – Public, Level 1 – Internal, and Level 2 – Confidential. The AI Toolkit provides guidance about tools based on these classifications.

Use Only What You Need

Avoid including unnecessary personal, sensitive, or identifiable information. UMB's current guidance recommends using the least sensitive information necessary for the task.

Keep People in the Loop

AI can assist with your work, but people remain responsible for reviewing its output and making appropriate decisions. Check important facts, citations, names, dates, links, and other AI-generated information against authoritative sources before relying on or sharing it.

Learn more about AI