Responsible AI & Trust
Human-centered AI requires more than good intentions.
Human oversight
We draw the line ourselves, before anyone asks us to: this far, and no further. Past that line, a supervising Community Health Worker or clinician is the one who decides — always.
Clear intended use
We tell the tool exactly what it's there for — education, outreach, navigation, screening — and we don't let it wander past that. It never stands in for a licensed professional's judgment. That's not our call to make.
Privacy & security
People trust us with real things about their lives. We treat that trust like it's earned every time, not assumed — with safeguards built to each partner's standards, not just ours.
Escalation
The moment something is uncertain, risky, urgent, or simply too much for the system to carry, it goes to a person — without delay, and without someone having to ask twice.
Transparency
Nobody should have to wonder if they're talking to a person or a machine. We tell them, plainly, and we always leave a door open to a human.
Continuous governance
We don't build this once and walk away. A clinical and academic advisory board keeps watching — for bias, for drift, for the moments performance isn't good enough — for as long as this is live.
