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C.H.I.L.D. is an open, survivor-led framework for continuous child safety infrastructure, spanning pregnancy through age 18. Drawing on neuropsychological research into the developmental impact of childhood sexual abuse, it proposes a layered socio-technical system that integrates wearable biometric sensors, local-first edge intelligence, and AI–human guardian teams to detect, escalate, and respond to risk signals before harm becomes entrenched.

The framework moves beyond reactive, report-driven models by treating physiological and behavioral anomalies — including stress spikes, proximity patterns, and silence anomalies — as early warning indicators that route to trained, survivor-led guardian teams rather than to automated systems or institutional bureaucracies. All high-stakes decisions remain under qualified human oversight.

C.H.I.L.D. is designed around four core commitments: absolute duty to protect, strict data minimization and local-first processing, transparent human override at every escalation stage, and equity of access regardless of family income. Its governance model explicitly guards against bureaucratic capture, commercial misuse, and partial implementations that omit sexual abuse detection — the harm domain the framework was most fundamentally built to address.

Released under Creative Commons CC0, C.H.I.L.D. is a public-domain specification intended for open implementation, independent audit, and community stewardship.
 
Description by Anthropic Claude.