AI Literacy Materials
Are you a researcher who investigates learning about AI or an educator who wants to teach kids about AI?
Here are some example materials you can reference and adapt for use in the classroom or conducting your own research.
What: I lead the development of various AI literacy materials for educational and research purposes. They are designed with elements of play, surprise, and creativity to engage youth in critically considering the social and ethical aspects of AI.
Target Audience: Generally aimed toward youth in middle and high school (an ideal time for students to develop their "science identity" and gain confidence in computing), these materials are suitable for beginners without prior experience in AI.
An activity to support identification of and critical discussion about bias in AI
Introductory lesson and guessing game to learn about generative AI and its limitations
Culturally responsive ways of gauging what AI knowledge and perspectives youth are starting with for research and teaching
Learning materials to support critical understanding of stakeholders' power and re-design of AI
Multiplayer game to learn about the mechanics and ethics of training data
Activities to imagine futuristic AI technologies and the ethics around them
This work has been supported by the National Science Foundation (DRL-1811086), Kapor Foundation, and the Jacobs Foundation through CERES.
Team members who have supported development of these materials include Professors: Amy Ogan, Jessica Hammer, Motahhare Eslami, Angela E.B. Stewart, Tara Nkrumah; and Student Research Assistants: Ellia Yang, Shixian Xie, Jennifer Kim, Alexis Axon, Emily Amspoker, Yi Luo.
 If you use these materials for research, please cite the associated research paper for any publications that may result from your work.