From robotics to advocacy, the Indigenous inventor shares what drives her work.
Oct. 29–31, 2026 | Hanover, N.H. and Livestreamed
Seventy years after AI was launched at Dartmouth, we’re convening leaders from government, industry, and academia, along with scholars, critics, and students, to discuss what AI makes possible, question its limits, and confront the challenges it creates.
AI at Dartmouth
When tools can generate fluent output on demand, the purpose of a university is not to compete with machines, but to strengthen the capacities they cannot replicate: reasoning under uncertainty, dialogue across difference, creative problem-solving that breaks new ground, and judgment that can be explained and defended.
At Dartmouth, we view AI not as a substitute for education, but as a test of it. Our students develop and defend their own interpretations, challenge assumptions, and push ideas into uncharted territory—learning when to use these tools and when to set them aside. What we value is not the volume of what can be produced, but the rigor of the reasoning behind it.
Learn How it all Started
Clockwise from top left: Anaïs Galdin, assistant professor of business administration; Hany Farid, the Donald Knuth Professor of Computation and Just Communities; Sarah Preum, assistant professor of computer science; and Peter Chin, professor of engineering.
Apurva Srivastava ’24, one of the students in the DALI Lab who created the virtual reality app, adjusts a headset before a graduate VR chemistry class. (Photo By Katie Lenhart)
AI Resources, Tools, & Guidelines
A list of guidelines, tools, and resources for Dartmouth faculty, staff, and students.
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