The Overview
Python child safety tool using AI detection to identify potential threats. Strict principle: AI flags, humans decide. No autonomous action is ever taken.
The Architecture
Honeytrap-style detection monitoring interaction patterns. Every flag generates a case file routed to a human reviewer. The human makes every decision about escalation or reporting. In child safety, false positives and false negatives both have devastating consequences.
The Result
Responsible AI deployment in the most sensitive context. Zero autonomous action. Strict evidence handling with chain-of-custody tracking. Privacy by design — no dragnet surveillance. The more sensitive the domain, the more essential human oversight becomes.