Protecting All Children Equally: Making Fairness Non-Negotiable in Child Safety AI

AI systems that achieve overall accuracy can simultaneously harm specific demographics through disparate impact—in child safety contexts, this means exposing some communities to excessive scrutiny while leaving others under-protected. Making fairness audits a mandatory deployment gate transforms them from optional monitoring into essential safeguards that prevent systematic harm to vulnerable communities.