Princeton students at all levels are heavily invested in AI research, generating and testing new algorithms, data sets, and ideas for junior papers, senior theses, Ph.D. dissertations and published papers in scholarly journals. Students with interest in AI pursue degrees in a wide range of fields, including computer science, electrical and computer engineering, and operations research and financial engineering, along with relevant minors and certificates.
Learning
Undergraduate Minor and Certificates
Graduate Student Certificates
Mini Courses and Workshops
Teaching
The McGraw Center for Teaching and Learning, a unit of the Office of the Dean of the College, is the principal campus resource for faculty who wish to enhance their teaching. We offer specific resources and guidance to faculty on teaching in the era of Generative AI, including sample syllabus statements, guidance on assignment design, and a dynamic list of readings. In addition to recommending that faculty establish clear policies on GAI use in their classes, we also recommend that they talk explicitly with students about the power and risks associated with these tools, including the risk that they may “short circuit” learning. Our hands-on workshops, co-hosted with the Princeton University Library, give faculty the opportunity to experiment with tools like ChatGPT, GitHub Copilot, and Adobe Firefly.