As AI becomes increasingly integrated into children's daily lives, particularly in educational and social contexts, it brings both advantages and challenges. Ying Xu, an assistant professor at the Harvard Graduate School of Education, explains that while AI can support children's learning, it cannot fully replace the benefits of human interaction. Xu highlights that children can learn effectively from AI, especially when it is designed with learning principles in mind. For instance, AI companions that ask questions during reading activities can enhance comprehension and vocabulary.
However, Xu emphasizes that AI cannot replicate the deeper connections and personalized interactions that children experience with humans. These interactions are essential for language and social development. She also raises concerns about children becoming overly attached to AI and the potential impact on their social behavior, particularly around politeness and relationship-building.
Xu stresses the importance of AI literacy, where children are taught to critically evaluate AI-generated content and understand its limitations. As AI continues to evolve, Xu encourages a balanced approach, using AI as a tool to complement human interaction, rather than as a substitute. Both educators and developers have a role to play in ensuring that AI supports children's development in a thoughtful and responsible manner.