Companies like Meta, Apple, Microsoft, Neuralink, and emerging startups are rapidly developing physiological computing devices that read muscle, brain, and/or eye movements. This industry boom creates urgent demand for professionals trained in neural interfaces and physiological computing, yet most computing programs lack standardized curricula in this area. This BoF will discuss two critical questions: How can we develop a framework for standardized physiological computing courses across computing curricula? What training and resources do faculty need to confidently teach these interdisciplinary topics?

Through interactive discussions, polling, and collaborative design sessions, we will gather diverse perspectives from faculty across computing disciplines including those without prior physiological computing experience to create actionable recommendations for curriculum development and faculty preparation. Participants will contribute to the beginning conversation of designing learning modules, identifying prerequisites, and building a community of practice around physiological computing and AI education.