Critical AI in K12 Classrooms
Silver Lining for Learning
Constants of AI Ethics: Extraction and Infrastructure
Marie outlines immutable ethical issues: extracted training data and extractive supply chains underpinning AI systems.
Today we’re diving into Critical AI in K–12 Classrooms by Stephanie Smith Budhai and Marie K. Heath, a powerful guide helping teachers and students navigate the promises and perils of AI in education with justice, equity, and critical awareness at the core. Dr. Stephanie Smith Budhai (she/her), Associate Professor at University of Delaware, is an award-winning educator and author whose work bridges technology, equity, and civic engagement. Dr. Marie K. Heath (she/her), Associate Professor at Loyola University Maryland is dedicated to dismantling oppression in schools and technology. They both bring deep expertise and insight to this timely conversation.
Stephanie and Marie’s book is designed as a practical guide for teachers and students navigating the complicated intersection of artificial intelligence, education, and justice
Artificial intelligence is rapidly integrating into today’s classrooms, and like other technologies, AI has the potential to harm, though at a larger scale, making it difficult to take advantage of its benefits. In Critical AI in K–12 Classrooms, Stephanie Smith Budhai and Marie K. Heath draw attention to the biases embedded within AI algorithms, such as those powering OpenAI’s ChatGPT and DALL-E, to guide students and teachers in developing strategies to best incorporate AI—or not—into equitable learning.
AI’s reliance on existing data and knowledge systems means Black, queer, those with disabilities, and other marginalized students are at greater risk of being harmed by built-in limitations and bias. Budhai and Heath show how to circumvent if not actively resist such harms as machine learning, NLPs, LLMS, and GenAI enter the classroom, with practical examples rooted in culturally sustaining, abolitionist, and fugitive pedagogies across disciplines. Their practical guide creatively answers the concerns of educators committed to forward-thinking yet fair instruction and the needs of students eager to use AI for just ends.
Critical AI in K–12 Classrooms meets the challenges of a key STEM technology with an eye toward cultivating a more just world. Balancing responsible learning with the joy of discovery, Budhai and Heath build a framework for AI instruction that all educators can confidently use.
About our guests:
Dr. Marie K. Heath (she/her) is not a robot, but she refuses to prove it to Google’s CAPTCHA. She currently works as Department Chair for Education Specialties and as an Associate Professor of Learning Design and Technology at Loyola University Maryland. Prior to her work in higher education, Marie taught high school social studies in Baltimore County Public Schools. Her scholarship interrogates schools and technologies as current sites of encoded oppression, and labors to advance more just technological and educational futures. She is co-editor of the CITE Social Studies Journal, co-founder and co-executive director of the Civics of Technology project, and a Faculty at the Center for Research and Evaluation at Loyola University Maryland. If you ask generative AI a question about Marie, it replies with the Mariah Carey “I don’t know her” meme.
Stephanie Smith Budhai, PhD, is an associate professor in the Educational Technology program at the University of Delaware and is the recipient of an Excellence in Teacher Education Award from the International Society for Technology in Education (ISTE). Her interdisciplinary research and practice lies at the intersections of technology, equity and civic engagement, across myriad K-16 settings. She is a council chair for the Society for Information Technology and Teacher Education (SITE) and advisory board member for the Association for Educational Communications and Technology (AECT) Center of Excellence for Publishing. Stephanie has published over eighty practitioner articles and nine books to support teaching, learning, and technology in education, two of which have been translated into Arabic. Most recently she published, Critical AI in K-12 Classrooms: A Practical Guide for Cultivating Justice and Joy (Harvard Education Press) and Culturally Responsive Teaching Online and In Person (Corwin). She holds K–12 teaching certifications in technology education, instructional technology, elementary education, and special education.
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