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Participants will learn what students need to know about how AI is impacting their world.
Participants will experience ways to provide hands on AI explorations for students.
Participants will discover concrete ways for students to build AI experiences with their students which mirror how it's being used in the real world.
Participants will discuss ethical considerations and ways to broach those topics in their classrooms.
The state of AI
Discussion about AI in education
Hands on exploration of generative and predictive AI artwork
Discussion about the ethical considerations around AI generated work, as well as inherent biases
Group exploration of text based AI experiences
Discussion about ethical considerations around AI generated work in writing
Review of the current AI experiences for students
Jigsaw exploration of AI experiences and sharing of results
Overview of hardware based experiences using education-friendly devices
Final reflection and wrap up
http://ai.berkeley.edu/project_overview.html - Berkeley's Intro to AI course
https://www.iste.org/areas-of-focus/AI-in-education ISTE resources for AI in education
http://tinyml.seas.harvard.edu/4K12 Tiny Machine Learning Open Education Intiative
https://code.org/ai Code.org's AI and Machine Learning module
https://ai.google/education/ Learning about ML and AI from Google