Events
A series of nationwide affiliate events will bring together organizations for learning and entertainment and to showcase important work. National AI Literacy Day 2026 will feature two live events in Washington, D.C. and Silicon Valley.
Did you participate in an event for National AI Literacy Day? Share your experience with us!
Events are happening all over the United States!
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Find an Event Near You
AI Literacy for Families in 2026
Join Raising AI, a collective of AI-for-parenting experts, for an honest, practical conversation about raising kids in the AI age.
MagicSchool AI: Student Webinar Panel Discussion
This session revisits students who joined us last year, and checks in one year later to hear how they’re using AI now in college, alongside current high school students using AI today. Students will share honest reflections on how AI supports their learning, writing, studying, and creativity, as well as what educators should understand about real classroom use.
Borough of Manhattan Community College’s 3rd AI Innovation Sprint
A fast-paced, hands-on experience where students, faculty, and community partners team up to use artificial intelligence to tackle real-world challenges in New York City and beyond.
Harnessing AI for Every Mind: Innovations in Education and Policy
This interactive workshop is designed for educators, administrators, and researchers eager to explore the transformative potential of artificial intelligence in supporting learners with different cognitive profiles. Participants will delve into how AI technologies can be leveraged to create adaptive learning environments that address the unique needs of every individual.
Community Meet Up in Austin
The event brings parents and caregivers together after school drop-off for coffee, conversation, and practical AI literacy resources from the National Day of AI.
Teaching Students to Question AI: Practical Classroom Strategies for Critical Evaluation
This session equips teachers with routines that help learners evaluate accuracy, detect bias, and decide when AI's suggestions should be accepted, revised, or rejected.