Generative artificial intelligence, also called gen AI, is one type of artificial intelligence (AI) that creates content—like text, images, videos, audio, or software code—in response to a prompt or request.
This guide shares information and resources to help the UDC community leverage the benefits of generative AI, recognize its limitations, and develop the skills to use, evaluate, and cite generative AI outputs. Always check with your instructor, supervisor, or publisher before using generative AI in your work.
AI tools are rapidly advancing, and discussions about their legal and ethical implications are evolving just as quickly. We will periodically update this guide to ensure the information shared is accurate and relevant.
Last Updated: February 28, 2025
Watch this webinar presented by Cathy Meals, Assessment and Reference Librarian at UDC Library, to learn more about the basics of generative AI.
Definitions are adapted from Artificial Intelligence Terms: A to Z Glossary (Coursera, 2024).
Artificial Intelligence (AI): Artificial intelligence (AI) refers to the ability of machines or computer systems to perform tasks that normally require human intelligence, such as communication and speech recognition, visual perception, decision-making, and natural language understanding.
Types of AI
Using Generative AI Tools
What happens behind the scenes when you use an AI tool? Check out this brief explanation from Dr. Hal Daumé III, Professor of Computer Science at the University of Maryland and Director for the Institute for Trustworthy AI in Law & Society (TRAILS).
"AI Overview" video by the University of Maryland Libraries and Dr. Hal Daumé III is licensed under a Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) license.
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