The Harvard Child-Centered AI Lab conducts a range of projects examining how children interact with, experience, and learn from AI. These projects include research on language development, STEM learning, and well-being.
Coalition Representative
Ying Xu, Ph.D, Director and Principal Investigator
Additional Colleagues
Zhonghao Shi, Ph.D, Postdoc Researcher
Lauren Girouard-Hallam, Ph.D, Postdoc Researcher
Rotem Landesman, Ph.D, Visiting Researcher (Incoming Postdoc Researcher)
Faculty Lead
Ying Xu, Ph.D, Director and Principal Investigator
Harvard Affiliation
Harvard Graduate School of Education
Mission / Focus
The Harvard Child-Centered AI Lab focuses on advancing our understanding of children’s learning and cognition in the context of AI, aiming to ensure that AI serves as a positive force in children’s development while mitigating risks.
The lab adopts a two-pronged approach: we design AI technologies for authentic use contexts while also using these technologies as research tools to deepen understanding of how children learn. Insights from this work are translated into AI design principles that inform instructional strategies and educational practice, helping to clarify AI’s roles and potential in supporting children’s development.
Areas of Study
The Harvard Child-Centered AI Lab conducts a range of projects examining how children interact with, experience, and learn from AI. These projects include research on language development, STEM learning, and well-being.
Our Research →