Overview of Gen-AI
Welcome to the NGU Gen-AI Guide. This resource is designed to help you develop your AI Literacy Skills.
As AI is developing progressively every day, you will need to keep up-to-date by monitoring news and academic blogs. This guide can help you explore a range of AI technologies and consider how these technologies might affect learning practices.
Generative AI (Gen AI)
"A class of AI algorithms that can produce various types of content including text, source code, imagery, audio, and synthetic data." (IBM Watsonx, 2025)
Bias
Prejudices in the training data that cause the AI to produce unfair or skewed outputs.
Hallucination
When an AI generates false or misleading information but presents it confidently as fact.
LLM (Large Language Model)
A type of AI (like ChatGPT) trained on massive amounts of text data to generate human-like responses.
Prompt Engineering
The art of crafting specific, clear inputs to guide the AI to produce better results.
Is using AI considered plagiarism?
Can I put my patient/research data into ChatGPT?
Why are the citations AI gives me wrong?
How do I verify if an image is AI-generated?
Which citation style should I use?
AI Declaration Statement
This guide was developed with the assistance of Gemini and ChatGPT to support the design and drafting of content. Every section, policy, and resource has been reviewed, verified, and curated by the NGU Library staff. The final responsibility for the accuracy of this information rests with the librarians.