AI at Duke
AI at Duke is a collaborative strategic initiative that brings together Duke experts across all disciplines who are advancing AI research and applications, addressing the most pressing ethical challenges posed by AI, and shaping the future of AI in the classroom and in our lives.
At Duke, researchers are developing cutting-edge AI technologies to positively impact society, alongside new frameworks and forms of governance to ensure the sustainable and responsible use of AI.
This website is a central hub for AI resources, amplifying AI stories across Duke and providing information to the Duke campus community on harnessing the power of AI in research, teaching and learning and using AI ethically and responsibly.
Register for the AI in Education at Duke Summit on May 28, 2026.
The summit will bring together Duke experts and educators across all disciplines to explore AI’s impact on teaching and learning.
Registration is currently open to Duke faculty, staff and students.
Artificial Intelligence is rapidly transforming our future by driving innovation across research and education. It plays a pivotal role in advancing scientific discovery, from accelerating medical breakthroughs to solving complex global challenges. Duke’s AI Framework establishes four pillars built upon a strong, foundational AI infrastructure and systems.
“The recent advances we have made in AI represent perhaps the largest breakthrough humanity has had in decades. As such, AI is clearly one of the biggest opportunities and biggest challenges we will face in higher education for the foreseeable future.”
– Provost Alec Gallimore
Resources for the Duke Community
New report recommends path forward for Duke and artificial intelligence
A new report from the AI at Duke Steering Committee outlines a strategic framework to guide Duke’s future investments and initiatives in AI while enhancing the university’s role in advancing responsible and human-centered AI innovation.
Grounded in extensive faculty input and engagement, the report is the culmination of nearly two years of planning and deliberation. Key priorities include foundational and human-centered AI research, student engagement, shared computing infrastructure, and responsible governance.
The recommendations aim to support Duke’s core mission of research and teaching by building technical capacity for AI development while also advancing holistic and interdisciplinary approaches to AI that keep humans at the forefront of innovation.
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Advance your AI Skills
Duke faculty who are experts on AI have developed Coursera courses based on their on-campus courses and scholarly work so that learners from around the world can access transformative educational experiences from Duke.
Duke faculty, staff and students can freely access these and over 4,000 other courses and specializations via Coursera for Duke.
Introduction to Generative AI
Beginner
Developing Explainable AI (XAI)
Intermediate
Human Factors in AI
Beginner
Introduction to Machine Learning
Intermediate
Study AI at Duke
The Department of Computer Science offers undergraduate major and minor concentrations and graduate concentrations in artificial intelligence.
The Master of Engineering in Artificial Intelligence for Product Innovation prepares students to become builders of AI applications that solve real-world problems, combining strong technical training with hands-on practical experience. The Master’s in AI & Materials trains students to harness AI to design the materials of the future for energy, healthcare, space exploration and more.