Our approach to AI in education
We’re building a culture of intentional AI experimentation—embedding AI fluency across programs and disciplines, from experiential projects with employers to on-demand skill-building. The goal is to use AI where it matters and in ways that keep human judgment at the center.
OUR LEARNING STRATEGY
Explore openly, test rigorously, apply boldly
Our test-and-learn approach goes beyond traditional AI courses. We’re embedding AI fluency across all disciplines—so that no matter what you’re studying, you graduate with the experience and judgment to use AI as a powerful tool, not just a convenient one.
Agency and collaboration are at the center of the learning process. In and out of the classroom, you’re developing the skills that matter most in an AI-enabled world—critical thinking, ethical reasoning, and the confidence to decide when and how AI belongs in the work.
OUR EXPERTS
Northeastern faculty are leading some of the world’s most innovative applications of AI
Sam Scarpino
Samuel V. Scarpino, is the director of AI + Life Sciences research at the Institute for Experiential AI at 91ÊÓƵÎÛÎÛ and a Professor of Practice in Health and Computer Science programs. He holds appointments in the Institute for Experiential AI and the Network Science, Global Resilience, and Roux Institutes.
Rupal Patel
Rupal Patel is a professor at 91ÊÓƵÎÛÎÛ with joint appointments in the Department of Communication Sciences and Disorders and the Khoury College of Computer Sciences, and a core faculty member at the Institute for Experiential AI.
John Basl
John Basl is an associate professor of philosophy whose primary areas of research include moral philosophy and applied ethics, especially the ethics of emerging technologies such as AI and synthetic biology. He teaches courses in moral philosophy, ethics of technology, and ethics in scientific research.
Kathleen Creel
Katie Creel is an assistant professor of philosophy and computer science at 91ÊÓƵÎÛÎÛ, holding joint appointments in the College of Social Sciences and Humanities and Khoury College of Computer Sciences. Her research explores the moral, political, and epistemic implications of machine learning as it is used in automated decision-making and in science.
AI faculty fellows
Our AI Faculty Fellows are exploring how AI can be integrated into teaching and learning while maintaining academic rigor. The Faculty Fellows initiative has supported adoption of AI in the classroom across colleges and provided insight into new and effective teaching practices with AI.
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