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The Global Responsible AI in Education Collaborative

We reimagine AI as a way of recognizing and amplifying the diverse forms of participation that usually go unseen in K–12 STEM classrooms.

How can AI tools and resources be responsibly designed and used to support equitable K–12 STEM learning across global contexts, particularly through multimodal and multilingual lenses?

Four orientations toward responsible AI (Lee, in press)

Culturally situated learning

AI re-anchored in the everyday realities, histories, and values of classrooms and communities.

Participatory design with stakeholders

Educators, community partners, and youth as equal co-investigators, designing with and from communities.

Multilingual & multimodal lenses

Recognizing the multimodal and multilingual repertoires learners draw on to make meaning.

Responsible technical design

Ethical and sociocultural values embedded across data, modeling, evaluation, deployment, and use.

What the collaborative producesGuidelines teachers can act on, and a research agenda built with the communities it serves.
Actionable Responsible AI Guidelines for TeachersCo-designed with educators, youth, families, and community partners, and publicly accessible.
Scholarly outputsJournal articles, conference papers, and policy briefs on equity-centered, participatory AI in education.
A documented participatory processA meta-narrative of how the partnership formed, decided, and theorized together across hubs.
A shared research agendaPriorities and implementation strategies grounded in what each local context makes possible.