Why Teaching Critical AI Matters
As New York’s AI education team, we understand that CS, and in particular AI, is starting to shape everything from what we see online to how decisions get made about jobs, healthcare, and especially education. That’s why it’s not enough to just teach students how to use AI, they also need to ask big questions about how it works, who built it, and who it impacts. A critical approach to AI helps young people understand the power behind the technology, recognize bias and injustice when they see it, and feel confident using their voices to imagine innovation that is just and ethical. Learn more about Critical AI here.
Everyone should be asking critical questions about generative AI. Use these posters to spark substantive discussions.
We’re proud that our Exploring Equity in AI program is listed as a resource for Responsible AI and Tech Justice for K12 Education on The Kapor Foundation's website.
The purpose of this calendar is to celebrate the accomplishments of past and present computer science pioneers, and specifically to highlight the work done by people from historically excluded groups.
We hope that these pioneers inspire your students and serve to remind them that anyone can be a computer scientist, regardless of race, gender, or (dis)ability.
On June 6, 2026, in collaboration with the American Museum of Natural History, we celebrated our Exploring Equity in AI (EEAI) culminating event: Expedition AI: DISCOVER, RECLAIM, REIMAGINE.
We gathered with hundreds of fellow teachers, students, scientists, and members of the public to share Critical AI lesson plans and policy proposals. These projects highlighted the incredible work of our EEAI Fellows.
Click here often– we will continue to add to our collection of Critical AI resources from Exploring Equity in AI Fellows!
Did you miss our Equity Impact Report Release event? Check out the video and download the short report to learn more about our work– including Exploring Equity in CS, a multi-year professional learning intervention.