Leadership
Our Team
Nancy Lape
Engineering
Josh Brake
Engineering
Ken Fandell
Art
Julie Medero
Computer Science
A lab focused on teaching, creativity, criticality, and societal impact with AI. Reimagining what world-class undergraduate education looks like in the age of Generative AI.
The invention of photography transformed art, culture, science, and society in ways no one could have imagined. 185 years later with Generative AI, we are at a similar inflection point—one that requires not just revision, but completely new thinking.
The AXL will cultivate, support, and disseminate the faculty, staff, and student innovations needed to achieve HMC's promise of world-class undergraduate education in the age of GenAI.
GenAI tools provide both challenges and opportunities in education. HMC is well-situated to lead discussions of what we teach, why we teach it, and how we teach and assess it.
Bringing together participants across constituencies—faculty, students, staff—and across campuses to support novel work related to teaching about, with, and in the presence of GenAI.
Providing access to cutting-edge GenAI tools and supporting collaborative experimentation to keep HMC current in a rapidly changing space and lead by example.
Positioning HMC as a leader in envisioning a future with GenAI that carefully considers societal and environmental impacts, raising our profile nationally and internationally.
Advancing GenAI education, research, and critical discourse across disciplines.
Interdisciplinary modules examining ethical, cultural, environmental, and societal implications of GenAI.
Training and grants to support groundbreaking approaches to teaching with and about GenAI.
Communities of practice welcoming faculty, staff, and students from the 7Cs and beyond.
Invited speakers and book clubs held online to attract national and international audiences.
A comprehensive repository of AI-aware teaching materials for all disciplines.
Support for prototypes, artworks, and physical objects engaging AI tools and critical inquiry.
A two-day conference for faculty, administrators, and students to sharpen thinking around how institutions should respond to generative AI—exploring what to teach, how to assess, and what skills remain uniquely human.
Engineering
Engineering
Art
Computer Science
Faculty and staff innovating with GenAI in teaching across disciplines at Harvey Mudd College.
Exploring AI as both a learning tool and its multimodal limitations in Materials Engineering, with structured pre/post-test homework and image-accuracy exercises.
Rethinking the History of Modern Science course to center AI in computing history and developing new handwritten assessment strategies that minimize GenAI misuse.
Redesigning a Physics computational course with an in-class proficiency exam to ensure genuine coding competency in the presence of GenAI tools.
Creating a GenAI critiques module in climate justice courses where students examine AI's impact on disabled communities through speculative fiction and prototyping.
Integrating GenAI-assisted coding into Intro Probability and Statistics, teaching students to use and verify LLM-generated R code while preserving conceptual understanding.
Redesigning Digital Cinema and creating a new Nonhuman Media Art course with reflexive, process-oriented approaches to GenAI in media production.
Replacing the traditional final paper in HSA10 "Race, Gender, and Class through Star Trek" with blue book exams in response to GenAI-driven changes in student writing.
Incorporating GenAI critique into a "Sociology of Waste" course through group projects exploring AI-driven waste processing, consumer apps, and cognitive effects of overuse.
Using GenAI to rapidly develop interactive HTML visualizations for an astrophysics survey course, letting students explore stellar and atmospheric physics concepts.
Teaching an "AI and Ethics" course where students conduct in-class Turing tests, analyze GenAI-generated philosophical papers, and critically examine AI's societal impact.
Be part of shaping the future of education in the age of AI. Connect with us to learn more about the AI Experimentation Lab.
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