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

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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 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 historically excluded students, 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.

Last updated: January 3, 2022

Artificial Intelligence (AI)

Research Papers

Critical Race Theory and Background Readings

AI in preK-12 Education Resources

Policy and Advocacy Groups

Research Centers

EducatorCIRCLS on AI

Other Guides and Resources

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