AI is changing the way we learn, teach, and conduct research. This guide brings together resources from the University of Kansas - Lawrence, University of Kansas Medical Center, and Kansas State University to introduce core concepts and connect you with campus-specific research assistance tools and support.
"Artificial Intelligence" (AI) has existed as a term since the 1950s, and has undergone several changes as different technologies and sub-terms have come into active use. This makes discussing AI challenging as related terminology may fluctuate between different tasks, contexts, and advancements. To aid in learning and understanding related to AI several key terms are defined below.
This guide utilizes definitions for AI and related sub-terms from the National Institute of Standards and Technology's (NIST) AI term glossary. The NIST glossary includes several term variants depending on the scope and context of terminology used.
An engineered or machine-based system that can, for a given set of objectives, generate outputs such as predictions, recommendations, or decisions influencing real or virtual environments. Al systems are designed to operate with varying levels of autonomy.
A branch of Artificial Intelligence (Al) that focuses on the development of systems capable of learning from data to perform a task without being explicitly programmed to perform that task. Learning refers to the process of optimizing model parameters through computational techniques such that the model's behavior is optimized for the training task.
An unsupervised learning task in machine learning that involves automatically discovering and learning the regularities or patterns in input data in such a way that the model can be used to generate or output new examples that plausibly could have been drawn from the original dataset.
A language model is an approximative description that captures patterns and regularities present in natural language and is used for making assumptions on previously unseen language fragments.
A class of language models that use deep-learning algorithms and are trained on extremely large textual datasets.

