AI at CSSH
Artificial intelligence is transforming how we work, communicate, conduct research, create knowledge, and make decisions. At the College of Social Sciences and Humanities, students and faculty explore not only what AI can do, but how it should be used and what its rapid development means for people and society.
A Human-Centered Approach to AI
CSSH brings the perspectives of the social sciences and humanities to one of the defining technologies of our time. Across disciplines, students learn to use AI tools thoughtfully while examining their ethical, social, economic, cultural, and political consequences. At CSSH, students will learn to:
-
Question AI
Evaluate when AI is useful, when it is not, and where human interpretation remains essential.
-
Understand AI
Study AI’s effects on institutions, culture, information, and everyday life.
-
Shape AI
Explore the ethics, policies, and governance structures that can guide responsible development and use.
Researching AI — and Its Impact
CSSH faculty study artificial intelligence from remarkably diverse perspectives, including ethics, governance, misinformation, human-computer interaction, sociology, economics, education, climate, and international affairs.
The Ethics Institute
The Ethics Institute brings ethical analysis and evaluation on pressing social issues, including AI and responsible technology use.
The NULab for Digital Humanities and Computational Social Science (NULAB)
NULab fosters interdisciplinary collaboration, bridging the gaps between technology, the humanities, and social science.
Center for Responsible Artificial Intelligence and Governance (CRAIG)
CRAIG combines academic rigor with real-world industry expertise to solve some of the most pressing AI challenges.
Study AI at CSSH
Build AI literacy and fluency through programs and courses that connect technical tools with critical, interdisciplinary thinking.
AI in the News
See how CSSH brings interdisciplinary thinking and emerging technology into research, co-op, and global experiences.
From First-Year Learning to the Workplace
CSSH students encounter AI through foundational coursework, advanced classes, research, experiential learning, co-op, and capstone experiences – building both literacy and discipline-specific fluency. View recent student AI stories below:
Featured Faculty
AI expertise at CSSH crosses departments, methods, and fields of study.


