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Building on the success of its first edition in 2023, the 2024 summit was hosted again by the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and the Stanford Accelerator for Learning. The summit brought together Stanford faculty and students along with leaders and participants from academia, industry, civic society, PK-12 education, and government.
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.
As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.
As AI technologies continue to rapidly evolve, and new opportunities and challenges emerge in education, the AI+Education research community showcased the latest AI research and solutions for key education challenges, examining how AI technologies (e.g., large language models, computer vision, and AR/VR) can advance learning through new pedagogies and assessments, new in-person or virtual classroom designs, new support mechanisms for teachers and students, and more. The summit addressed how AI can transform teaching and learning in an ethical, equitable, and safe manner; what metrics of assessment, fair evaluation, and overall regulatory framework are required to deliver these qualities; and how to build AI for education and with educators.
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