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)

• Artificial Intelligence in Education

• 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)

Lesson designed for the Hour of Code at code.org

AI for Oceans (recommended for grades 3-12)

Lesson designed for the Hour of Code at code.org.

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.

People & AI Research (PAIR) Explorables: Measuring Fairness

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.

PAIR Explorables: Hidden Bias

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)

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."