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AI + Learning Differences: Designing A Future With No Boundaries

Authors
Nneka J. McGee,
Elizabeth Kozleski,
Christopher J. Lemons,
Isabelle C. Hau
Date
Publisher
Stanford Accelerator for Learning
The rapid expansion of artificial intelligence (AI) presents an unprecedented opportunity to address learning diferences when designing innovative systems. In December 2024, the Stanford Accelerator for Learning convened the AI + Learning Diferences Working Symposium and AI + Learning Diferences Hackathon, bringing community members together to explore how AI systems can expand learning opportunities for all. This white paper synthesizes contributions into nine interconnected sections, each examining a critical dimension at the intersection of AI and learning diferences: