Artificial Intelligence
Learning Resources
For teachers, students, and lifelong learners, we've created and curated a number of resources to learn about Artificial Intelligence (AI).
Lesson Plans and Tutorials
AI & Drawing (all ages)
Hands-on activity using Google's Quick, Draw! Can be done synchronously or asynchronously.
Created by Vermont Educators Kristen Wilson and Lucie deLaBruere with Open Learning Resources from ai-4-all.org
Hands-on AI projects from ISTE (recommended for all ages)
ISTE Hands-on Projects for Elementary Classrooms (For students under 13)
ISTE Hands-on Projects for Secondary Classrooms (For students 13+)
"Do These A.I.-Created Fake People Look Real to You?" - NYT
At least the visuals in this NY Times article can be shared and discussed at any grade level.
"There are now businesses that sell fake people. On the website Generated.Photos, you can buy a “unique, worry-free” fake person for $2.99, or 1,000 people for $1,000. If you just need a couple of fake people — for characters in a video game, or to make your company website appear more diverse — you can get their photos for free on ThisPersonDoesNotExist.com. "
Train a Computer AI (recommended for grades 6-12)
Live mini-lesson from Code.org. December 7th @ 11 AM ET.
"American Sign Language (ASL) is a way to communicate without speaking. We’ll be training a computer to read sign language with our own images of ASL letters."
AI and Ethics (recommended for grades 6-12)
AI for Oceans (recommended for grades 3-12)
Machine Learning (recommended for grades 6-12)
Full unit on machine learning written for HS students
A Visual Introduction to Machine Learning (recommended grades 7+)
A Visual Introduction to Machine Learning (particularly Pt. 2, "Bias and Variance").
R2D3 is an experiment in expressing statistical thinking with interactive design.
Measuring Fairness (recommended grades 7+)
How do you make sure a model works equally well for different groups of people? It turns out that in many situations, this is harder than you might think.
Hidden Bias (recommended grades 7+)
Models trained on real-world data can encode real-world bias. Hiding information about protected classes doesn't always fix things—sometimes it can even hurt.
How to Lead a Hands-on AI Workshop from LA MakerSpace (recommended for MakerSpace educators)
Step by Step tutorial on leading a hands on workshop to help participants better understand AI. No computer needed - but lots of egg cartons. (Synchronous, all ages)
Dealing with Bias and Fairness in Building Data Science/ML/AI Systems (recommended for people with a coding background)
KDD 2020 Machine Learning Fairness Tutorial (with Python notebooks)
Videos
How I'm fighting bias in algorithms
MIT grad student Joy Buolamwini was working with facial analysis software when she noticed a problem: the software didn't detect her face -- because the people who coded the algorithm hadn't taught it to identify a broad range of skin tones and facial structures. Now she's on a mission to fight bias in machine learning, a phenomenon she calls the "coded gaze." It's an eye-opening talk about the need for accountability in coding ... as algorithms take over more and more aspects of our lives.
In the Age of AI
"A documentary exploring how artificial intelligence is changing life as we know it — from jobs to privacy to a growing rivalry between the U.S. and China" (Recommended for ages 13+)
Also see "Resources for Further Discussion" on the home page of this site.
Additional Resources
Open Learning Resources from AI4ALL
Teacher, Community, & Curriculum Resources. AI4ALL is a US-based nonprofit dedicated to increasing diversity and inclusion in AI education, research, development, and policy.
Algorithmic Justice League
Organization featured in Coded Bias:
"We combine art and research to illuminate the social implications and harms of AI."
