AI Learning Resources
Introduction
This collection provides educational materials about artificial intelligence fundamentals, development history, and ethical implications. Resources span multiple formats and perspectives, focusing on understanding AI as a subject rather than its practical applications. Content includes both mainstream and critical viewpoints to encourage comprehensive knowledge of this rapidly evolving field.
The inclusion of any resource should not be considered an endorsement of any views. I did my best to vet the different resources, but could only sample some of the different resources. If you discover something that you think should be removed, please reach out and let me know. Additionally, if you’ve used different resources that you’ve found helpful, please let me know and I can add them! Send me a message on Teams or email me dennis.christman@duke.edu
What is AI? Getting Started with AI Basics
Articles
Books
Unmasking AI : my mission to protect what is human in a world of machines, by Joy Buolamwini
The Coming Wave, by Mustafa Suleyman
Co-Intelligence: Living and Working with AI, by Ethan Mollick
AI Ethics, by Mark Coeckelbergh
The Line: AI and the Future of Personhood, by James Boyle
Videos
IBM’s The Evolution of AI: Traditional vs Generative AI
3Blue1Brown: But what is a neural network?
Staying informed
Articles/Blogs/Etc.
New York Times AI Landing Page
Podcasts
Video Channels
Google’s DeepMind Video Podcast
AI in Libraries
Generative AI in Libraries Conference YouTube Channel
Library 2.0 AI and Libraries: Literacy, Ethics, and Responsible Use Conference Playlist
ALA AI Competencies for Library Workers [Draft]
Online Courses
Coursera’s Artificial Intelligence: Ethics & Societal Changes
LinkedIn Learning - Has quite a few intro to AI courses available using your Duke credentials.