Brown’s ethos of student-centered learning and self-directed discovery provides an ideal framework for educating undergraduate, graduate and professional students in a world with AI. For undergraduates, encouraging exploration across disciplines through the Open Curriculum — from history and philosophy to chemistry and computational biology — teaches students to ask hard questions, develop mental agility and understand a diverse range of views.
Across the curriculum at all levels, Brown approaches artificial intelligence in teaching and coursework with a focus on critical thinking, human reasoning, and listening and communicating. Many faculty teach courses that feature AI-specific pedagogy and content as well as incorporate generative AI exercises into their classes to support learning goals. Others intentionally teach content without AI so students can bring the human skills of discernment and creativity to their future work.
In addition, as part of developing a practical fluency in AI, students are taught to interrogate sources, identify hallucinations, spot algorithmic bias and understand the probabilistic nature of large language models.