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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.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery. Experts will separate hype from reality, spotlighting where AI is already enabling genuine breakthroughs and where its limits and risks remain.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery. Experts will separate hype from reality, spotlighting where AI is already enabling genuine breakthroughs and where its limits and risks remain.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
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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