education
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Safe and Accessible Data Interactions in Education (SADIE)
SADIE is a middleware framework designed to make AI-powered data science education tools safer, more accessible, and developmentally appropriate for students.

SRI’s research points to practical ways to expand Head Start for children in foster care while preserving continuity.

Education researcher Shari Dubos discusses what drew her to research and how SRI views technology’s role in education.

SRI’s LOVE Science project integrates education expertise, LLMs, and video to make science relevant and effective for students.

SADIE is a middleware framework designed to make AI-powered data science education tools safer, more accessible, and developmentally appropriate for students.