According to a 2020 paper by Long & Magerko, who synthesized a variety of interdisciplinary literature into a set of core competencies, AI literacy is the ability to:
Being “AI literate” is the ability to understand, use, and reflect critically on AI applications without necessarily being able to create and develop AI models like someone with a computer science background. Understanding how to use AI as a tool to enhance your work is how you become AI literate.
Within education, AI literacy is a tool to enhance learning and, like all tools, needs to be used in a ethical and responsible way.
Elements of AI - University of Helsinki
Free course for learning about AI in general.
What Is ChatGPT Doing ... and Why Does It Work? - Stephen Wolfram
Learn the details about how it works. Based on his book of the same name.
ChatGPT is everywhere. Here’s where it came from - Will Douglas Heaven, MIT Technology Review
Useful history.
The Acceleration of Artificial Intelligence - Anna-Sofia Lesiv
An interesting summary of the development of today’s generative AI. It’s useful for understanding the 2017 breakthrough (transformer architecture) that led to so much that’s happening now.
A jargon-free explanation of how AI large language models work - Timothy B. Lee and Sean Trott
Learn about word vectors, transformers, and more.
Why does chatGPT make up fake academic papers? - Twitter thread by David Smerdon, Univ. of Queensland
Very good explanation.
Large language models from scratch and Large Language Models: Part 2 (videos) - Graphics in 5 Minutes on YouTube
Transformers, Explained - Google Cloud Tech on YouTube
Learn more about transformer architecture.
What is Reinforcement Learning From Human Feedback (RLHF) - Alex McFarland
Useful explanation.
It’s worth reading these policies and FAQs from OpenAI:
Many univeristies have created resources for their community on AI tools. Some are linked below.