We believe concrete prototypes—not hypothetical scenarios—are the most powerful way to shape AI's future. We operate on the principle of the Innovation Bargain.
Technology removes existing obligations. Automation that frees time and energy.
Technology enables new capabilities through active engagement and skill development.
Technology eliminates existing abilities. Skills and options passively taken away.
Technology creates new obligations. Required tasks and responsibilities emerge.
Work on small teams building imaginative AI applications.
Guidance through the entire prototype design process, from ideation to technical execution.
Be part of a collaborative community with regular feedback sessions to learn from each other.
Tools you need to build prototypes like subscriptions to AI tools and API credits.
Students exploring AI's promise and peril through imaginative prototypes.
IPAI Fellow
Harvey Mudd College
IPAI Fellow
Harvey Mudd College
IPAI Fellow
Harvey Mudd College
IPAI Fellow
Harvey Mudd College
IPAI Fellow
Harvey Mudd College
IPAI Fellow
Harvey Mudd College
How might we use AI to solve human problems?
"How might AI support learning without undermining student-faculty relationships?"
"How might AI help make our work more meaningful?"
"How might AI assist writing without sacrificing the productive struggle?"
"How can AI enable rapid STEM prototyping?"
Concrete outcomes for industry and academia.
Blog posts detailing the prototype architecture and lessons from critically interrogating its societal impacts.
Poster presentations and live demos at Harvey Mudd's annual Presentation Days in early May, showcasing work to the broader community.
Joint projects with industry partners and summer internship opportunities for fellows.
Lab Lead
Josh Brake is an Associate Professor of Engineering at Harvey Mudd and is the lead for the Lab for Imaginative Prototyping with AI. Josh brings expertise in engineering, AI, and a passion for understanding how emerging technologies reshape the way we work, create, and solve problems. He is excited to partner with students in the IPAI lab, to build imaginative prototypes that probe AI's promise and peril. More about Josh and his work can be found on his Substack.
The IPAI Fellowship is a program where students work in small teams to build imaginative AI applications that explore both the promise and peril of emerging technologies. Fellows receive mentorship, resources, and community support throughout the semester.
Our Spring 2026 cohort includes students from the Claremont Colleges who are passionate about exploring AI's impact through hands-on prototyping. Each fellow brings unique perspectives and skills to their projects.
Sign up for our email list at the bottom of this page to receive updates about the lab, fellow projects, and future application cycles.