AI Use Decision Lab

The problem. Families and schools are asked whether children should use AI as though the tool, the task, the child's age, the data practices and the level of adult oversight all raised the same question. They do not, and the general answer is useless for the specific decision in front of someone.

What it does. Evaluates one specific child-facing AI use across five age-aware stages: context, the role AI will play, what cognitive work it may substitute for, adult involvement, consequence level, and data and human safeguards. The decision logic is inspectable rather than hidden, and the output names the developmental capacities to protect, the questions to put to a vendor or school, and the signals to monitor.

Built on. A static browser application with local persistence and dated source links, served from Vercel. The decision model draws on the AAP 2026 state-of-the-art review, UNICEF child-centred AI guidance, UNESCO guidance for education, US Department of Education FERPA guidance, the FTC's amended COPPA Rule, and the NIST Generative AI Profile.

What it does not establish. It does not diagnose children, certify products, determine legal compliance, or claim that long-term neurological effects are settled.

This record is generated from the same inventory as the complete build index: the production URL was checked at the last regeneration, and the status line above repeats what the build reports about itself rather than restating an intention.