Stanford University provides a basic introduction and defines AI-related terminology.

IBM provides a thorough overview of the different kinds of AI and the ways in which machine learning has evolved since the 1950s.

University of Maryland provides 1-2 hours of reading/watching in this online module which explains how AI-based tools work, understanding AI results, citing, and exploring creative ways to use the tools.

Created by the Association for Research Libraries, these principles will serve as a foundational framework for the ethical and transparent use of AI and reflect the values of research libraries.

The American Association of Colleges and Universities (AAC&U) created this free guide to navigating college in the era of artificial intelligence. It includes ground rules for students to follow in their classes, a checklist for using AI ethically, suggested ways to use AI, cautions about the downsides of using AI, lists of AI resources, and suggestions for writing prompts.

The Modern Language Association (MLA)-Conference on College Composition and Communication (CCCC) Task Force created several working papers related to generative AI and writing.

UK’s national institute for data science and artificial intelligence

A community of scientists at MIT and IBM Research who conduct AI research and work with global organizations to bridge algorithms to impact business and society

A center of excellence for AI research, teaching, theory, and practice since its founding in 1963