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Defining & Scaling Beneficial Model Behaviors Assessment
Presented on the Solution Stage with Dr. Mathilde Cerioli — Chief Scientist, Everyone.AI — at the United Nations / ITU AI for Good Global Summit, Geneva, 9 July 2026.
My goal: a safety label for AI every family can trust — and,
through it, impact a billion lives for the better.
Let's make AI a safer place for children.
For decades, parents have relied on a simple, shared signal — the age rating on a TV program — to know what's suitable for their child. AI now lives inside toys and everyday products, with no equivalent. I want to give it one: a single, trusted safety label — starting with children's toys, then extending to every product that embeds LLMs or agentic AI — so any parent can tell at a glance whether an AI-powered toy or product is appropriate for a given age and use. The AiA Safety Builder, built at Everyone.AI, is the measurable foundation that makes such a safety label possible — and it's how I intend to impact a billion lives for the better.
Illustrative examples only — not a binding standard. They show the direction: a shared, PG-style rating any family could read in a second.