This document is a guide for facilitators leading versions of the Everyday AI (EdAI) teacher professional development (PD) experience. It is also for anyone thinking about or interested in teacher PD for artificial intelligence (AI) literacy.
This unit explores Large Language Models (LLMs) by focusing on the interplay between prompts and generated output. It uses a "hands-on" approach, employing unplugged games and simulations to demystify core LLM concepts.
This unit focuses on how AI is used to create and generate content, including text and images. It discusses GANs (Generative Adversarial Networks) and AI's impact on future jobs.
This unit introduces many of the basic concepts of AI, including supervised machine learning, neural networks, classifying AI vs. Generating AI, and starts to introduce students to thinking about careers in AI.
Most types of AI comprise three parts - a dataset, a learning algorithm, and a prediction - each of which can be influenced by different types of bias (such as algorithmic bias) to prioritize the values of some stakeholders over others.
