Exploring the Intersection of AI and Child Development
Research led by Zhen Bai at the University of Rochester focuses on using artificial intelligence to enhance child learning and development. Bai is developing tools to help parents, especially those with deaf and hard-of-hearing children, learn American Sign Language (ASL) and to educate kids about AI technologies. These initiatives aim to bridge the gap in language acquisition for deaf children and empower all children to understand the AI tools they encounter.
Key Innovations and Collaborations
- Bai collaborates with Wyatte Hall to create the Tabletop Interactive Play System (TIPS), which helps parents learn ASL through interactive play.
- The team is also working on a web-based tool called GroupIt to help K–12 students understand machine learning concepts without needing programming skills.
- An augmented reality game named BeeTrap teaches students about AI recommendation systems using a pollination analogy.
- Bai emphasizes the importance of working with teachers to integrate AI education into STEM classrooms effectively.
The Significance of AI in Education
These projects are vital as they address language deprivation in DHH children and encourage all children to engage with AI. By demystifying AI, Bai aims to prepare the next generation to navigate a technology-driven world. This approach fosters critical thinking about AI’s role in society, especially for marginalized groups who may face biases in AI systems. Ultimately, these innovations aim to create a more inclusive and informed future for children.
