About the project
We are at an inflection point in the development of AI tools — who will decide what capabilities are developed, by whom, and to what end?
We believe it is crucial for all educators, including those in non-technical fields, to contribute to these conversations—to surface questions about what it means to be human, to bring critical and historical perspectives to AI, and to revisit the goals of education, now, and in the future.
Why we built this
We created the AI Pedagogy Project to help educators engage their students in meaningful conversations about the capabilities and limitations of AI, grounded in hands-on experimentation. Our goal is to support educators, students, and the general public in exploring questions like: How do we make informed, intentional decisions about the role of AI in the classroom? How can students build critical relationships with these tools? And how might imaginative applications of AI enhance learning?
Educators, academic administrators, and even parents across all levels of education are asking these questions with growing curiosity and urgency. High school teachers may want to explore our dedicated resources designed specifically for them. We also recommend Part 1: AI Starter for all educators, including those in K-12 and higher education, as well as anyone who’s interested in learning more about AI.
All assignments in this growing collection were created by educators. We encourage you to adapt them to your own pedagogical values and classroom needs. If you’re new to these tools (or want a refresher), visit our AI Guide, which covers the essentials to help you get started.
This project was incubated at metaLAB (at) Harvard within the Berkman Klein Center for Internet & Society at Harvard University from 2023–2025. We’ve consulted with a wide range of colleagues, students, and experts to shape this resource. In addition to contributors who submitted new assignments, we would also like to thank the educators who generously shared their materials online, making it possible for us to include them here.
Our values
We believe that every educator—regardless of discipline or technical background—should be equipped to consider how AI will shape their teaching, their discipline, and their students’ experiences. Now more than ever, meaningful collaboration between technical fields and the liberal arts is essential.

Critical
We aim to deliver critical and insightful content that considers diverse perspectives. We think carefully about the implications of AI and approach it responsibly. We avoid political bias to the extent possible while acknowledging that technologies are not value-neutral. We do not assume AI tools are necessarily a value-add or that they belong in all educational settings.

Ethical
When engaging with AI and considering its potential, we foreground the negative impacts it has, many of which are unevenly distributed across populations. We aim to contextualize use of these tools, giving weight to impacts that span representation, bias, the environment, worker exploitation, privacy and surveillance, and more.

Evolving
AI technologies are developing at a rapid pace, and there is a need for educators to continually adapt their approaches. We aim to keep this collection of resources up to date with the latest technological and pedagogical considerations.

Experimental
All of us are learning. No one has all the answers. We aim to continuously experiment, iterate, reassess, and revise. We prioritize humility and honesty in our exploration, focusing on ideas rather than pushing ideologies.

Imaginative
Generative AI technologies have the potential to push our thinking and expand our communication in interesting ways. Let’s harness these tools as educators to support our creative exploration.

Inclusive
We aim to accommodate users with varying educational, geographic, and technical backgrounds while spotlighting a diversity of educators and forms of knowledge. Our primary audience is post-secondary educators, but anyone is welcome to use and adapt anything here that they find useful.
Our team
Advisors
Maha Bali
American University in Cairo
Kathryn Conrad
University of Kansas
Lance Eaton
Northeastern University
Jon Ippolito
University of Maine
Seiji Isotani
University of Pennsylvania
Dhrumil Mehta
Columbia University
Anna Mills
College of Marin
Aarushi Sahejpal
American University
Jeffrey Schnapp
Harvard University
Daniel Stanford
DePaul University
Former team members
Designer
2023-2024Jonathan Chinen
Researcher
2023Kathleen Esfahany
Researcher
2023-2024Khalil Ismail
Researcher
2024Liya Jin
UX Researcher
2023–2025Eri Kostina
Researcher & Designer
2023-2024Austin Ledzian
Product Manager
2023Bereket Nigussie
Researcher & Engineer
2023Eryk Salvaggio
Researcher
2024–2025Mohsin Yousufi
Researcher
2023–2025













