This research addresses the critical gap in understanding how Large Language Models affect children's safety, proposing comprehensive evaluation approaches tailored to this vulnerable demographic.

• Identifies unique safety risks for children interacting with LLMs across different age groups
• Analyzes current safety gaps in popular LLM systems when used by minors
• Proposes specialized evaluation frameworks that consider children's developmental stages
• Recommends targeted safeguards for educational and therapeutic LLM applications

Security implications are significant as children increasingly interact with AI systems in educational settings without adequate protection against inappropriate content, manipulation, or privacy concerns.

LLM Safety for Children