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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.
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.
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.
Breakfast available
Setting the stage for an inspiring day exploring the intersection of AI and education, these leaders will share a vision for how AI can transform learning and workforce readiness.
Explore how AI is transforming education and providing new insights into the human mind. Leading researchers will showcase groundbreaking advancements in AI-driven training, evaluation, and analysis using data from children and educational settings, offering a glimpse into the future of learning and classrooms.
As AI gains influence in education, how do we ensure its responsible use? This panel will explore the current state of responsible AI and where we’re heading, diving into the risks, ethical questions, and transformative possibilities.
State superintendents will discuss the transformative role of AI in education, sharing insights on how policy can drive innovation while ensuring equity and access.
Discover cutting-edge student research and innovative applications of AI in education. Targeting 10 posters, including VR demonstrations, this session will showcase bold ideas and practical solutions.
Track A: Future Skills for an AI World: Workforce Readiness and New Models of Schools
Melissa Valentine
Alex Riccomini
MacKenzie Price
(facilitator) Matthew Rascoff
Track B: Industry-Research Partner Connections
Jamie Poskin
Dora Demszky
Catalin Voss
Nick Haber
(facilitator) Susanna Loeb
Track C: Global Perspectives on AI in Education
Guilherme Lichand
Neeru Khosla
Mike Trucano
(facilitator) Verna Lalbeharie
Track A: Personalized Learning for Students with Learning Differences
Dennis Wall
Lakshmi Balasubramanian
Jason Yeatman
(facilitator) Bruce McCandliss
Track B: Empowering Educators: What AI Can (and Can’t) Do for Teachers
Stephanie Sumarna
Molly Montgomery
Suba Marti
(facilitator) Karin Forssell
Track C: What is Coming Next?
John Mitchell
Jeremy Bailenson
Pamela Cantor
(facilitator) Jim Shelton
Reflections on the day’s key insights and a call to action for the future of AI in education.
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