Break down communication barriers
Collecting data on children's interactions with AI for mental health.








AI-Powered Child Insights
Collecting dialogue data to enhance children's mental health through AI and professional assessments.


Emotional Analysis Techniques
Utilizing NLP for understanding children's emotional feedback and conversation dynamics.
Professional Assessments
Regular psychological assessments to track children's mental health indicators and improvements.
Parent and Teacher Feedback
Conducting interviews to gather insights on AI application experiences and suggestions for improvement.


Strengthening ethical standards and supervision
Relevant departments should formulate ethical norms and laws and regulations for AI applications in the field of children's mental health, clarify the standards and requirements for data collection, use, and storage, and strengthen the review and supervision of AI products. Establish a strict content review mechanism to ensure that the information conveyed by AI is positive and healthy and meets the needs of children's psychological development. In addition, education on the use of AI should be strengthened for parents and children to improve their awareness of privacy protection and information discernment.