Artificial Intelligence in Education: A Reading Guide Focused on Promoting Equity and Accountability in AI

AI Iconby Pati Ruiz

As a former Spanish and computer science teacher, I think a lot about emerging technologies and how they apply in learning contexts. Recently, I have been focused on artificial intelligence (AI) and how it affects students, their families, and communities. I am particularly interested in the consequences (intended and unanticipated) of these emerging AI technologies on students who experience exclusion, specifically Latinx, Black, Indigenous, and students with disabilities.

Working with the Center for Integrative Research on Computing and Learning Sciences (CIRCLS), I have seen work ranging from Intelligent Tutors and systems designed to adapt and personalize learning, including some that are developing pedagogical agents and robots. I’ve also seen work that seeks to minimize bias and promote equity in AI, projects using computer vision, natural language processing and speech technologies. Of all of these efforts, I consider the work to promote equity and accountability in AI to be the most important and I created this list to focus on those issues. You can also check out this glossary of AI terms written specifically for educators.

First published: March 2020. Last updated: March 2024

A Good Place to Start

Power, Privilege, Ethics, and Justice in Artificial Intelligence (AI)

Design and Artificial Intelligence (AI)

(Dis)ability and Artificial Intelligence (AI)

Artificial Intelligence (AI) Literacy and AI in PreK-12 Education Resources

History of Artificial Intelligence (AI)

Guidelines and Frameworks for Artificial Intelligence (AI)

Policy and Advocacy Groups

Critical Race Theory and Background Readings

Research Centers

EducatorCIRCLS on Artificial Intelligence (AI)

Additional High-quality Reading Lists

Other Resources

Do you have reading recommendations? Let us know @EducatorCIRCLS.

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