Detail of bound tetrahedron sculpture on display at Oberlin.

Program Overview

Critical AI Studies

Technology through a liberal arts lens

Detail of “Bound Tetrahedron,” Richard Berry. Allen Memorial Art Museum, Oberlin College.

Understand and shape the impact of artificial intelligence

Oberlin’s critical AI studies minor empowers you with the skills to lead, make informed decisions, and address emerging challenges and opportunities across the evolving field of artificial intelligence.

As one of the first liberal arts programs of its kind, critical AI studies offers an interdisciplinary lens that combines humanistic inquiry with technological understanding. Our coursework enables you to critically examine, understand, and harness AI technologies across diverse fields. You will be equipped to design AI applications that serve the public good and to lead organizations and society in deciding where AI use is—and is not—appropriate.  

Through our program, you will learn to assess technology’s societal impact and sharpen your skills in communicating findings, collaborating across fields, and designing responsible solutions. You’ll analyze cognitive decline, educational effects, business challenges, and environmental risks with ethical reasoning and critical, interdisciplinary analysis. With foundational coursework in computer science, neuroscience, psychology, and political theory, you’ll acquire the knowledge and judgment necessary for determining uses of AI that serve humanity. 

The critical AI studies minor will be available beginning fall 2026.

Bridges STEM and the humanities through our interdisciplinary learning approach that complements any BA, BS, or BM degree.

Agents of Change

Adam Eck, the David H. and Margaret W. Barker Associate Professor of Computer Science and Business, is studying how artificial intelligence-powered robots can fight wildfires more efficiently.

Research on wild fire preventation via ai modelling visualized by Nick Giammarco

Study AI technologies at an institution committed to sustainability and proudly carbon neutral since 2025.

Year of AI Exploration

Oberlin College is passionate about giving students the tools they need to succeed, which includes equipping them with speakers, workshops, and hands-on opportunities and establishing policy and procedures to support their journeys.

Computer science students in a classroom.

Integrating Analysis & Machine Learning to Predict Cancer Outcomes

Maria Mozumdar headshot

“My favorite part of the research process is uncovering patterns in complex data and transforming numbers into meaningful insights that can inform real-world healthcare decisions. But more than that, I remind myself that each data point represents a real person.”

Featured Courses

CAIS 100

Introduction to Critical AI Studies

Students explore fundamental questions such as, “What is meant by the term ‘artificial intelligence’? How is this similar to and different from our understanding of human intelligence and creativity? How do AI systems actually function?” Students also probe how social and historical factors shape the underlying theories, concepts, technologies, development pipelines, and policies that support AI systems as we know them.  

Taught by
Michael McCarrin, Nicholas Anderman

POLT 230

Odyssey of Political Theory

This course provides a survey of critical theory tradition of thought beginning from the influential critiques of the Enlightenment by Marx, Freud, and Nietzsche and extending to the twentieth century critical theories of the Frankfurt School, with a focus on the writings of Theodor Adorno, Max Horkheimer, Walter Benjamin, Erich Fromm, and Herbert Marcuse. The course will trace the shifts within critical theory’s long odyssey, while interrogating the possibilities and limits of this tradition today. 

Taught by
Arwa Awan

DATA 101

Introduction to Data Science

The growth and use of data is increasingly vital for many disciplines, from natural sciences to social sciences, and business to humanities. This course introduces students to data science and informatics that study how to collect, manage, process, analyze, and visualize data from a computational perspective. Topics include computational thinking, understanding different types of data, database techniques, and a variety of data analysis approaches. 

Taught by
Joshua H. Davidson ’12

EVSS 322

Energy and Society

Energy issues are often characterized as problems we can ‘supply’ our way out of by changing the resources we rely on, and less frequently as a problem of consumption. This course adopts a socio-technical perspective. The first part of this course explores physical, political, and economic aspects of energy supply through the examination of different energy sources (biomass, fossil fuels, electricity, renewables, nuclear). The second part of the course addresses social and political aspects of energy consumption.

Taught by
Paul Brehm

CRWR 237

New Media Writing

Can a poem change based on your weather data? What happens when a story moves nonlinearly through hyperlinks, or when the computer becomes your collaborator? This creative writing course explores new media writing-poems, stories, and hybrid works that use digital media to create innovative literary experiences. Our scope may include interactive fiction, video games, computational poetry, audio and video poems, hybrid installations, immersive storytelling, and more. Students will workshop their creative work with peers.

Taught by
Amanda Hodes

PSYCH 209

Complex Cognition

This course explores fundamental questions in the field of cognition such as, “How are we able to learn languages, make decisions, and predict the future?” It covers a variety of topics relating to the scientific study of high-level human cognition, including thinking, problem solving, language, and reasoning. 

Taught by
Manasi Jayakumar

Program news

Expressive Machines

How do we think about musical expression, especially in relation to robots and machines? That’s the question Steven Kemper aims to answer in his research. In the age of artificial intelligence—and the various concerns surrounding it—Kemper’s research proves that robots can, in fact, enhance human creativity.

A colorful, surreal collage-style illustration featuring electronic music equipment, red hands, and geometric shapes on a deep blue background.

Goldwater Scholarship Recipient Tanisha Shende ’26 Aims to Make Virtual Reality More Accessible

Shende spent the summer conducting research at the MIT Media Lab in Cambridge, Massachusetts, working on the ethics and governance of technology at Harvard University’s Berkman Klein Center for Internet and Society.

A person wearing goggles holds two joy sticks.

Next Steps

Get in touch; we would love to chat.


Students hang out on wilder bowl in the spring green weather