Why I created this portal. I created this portal to address a clear problem: people often use AI-enabled mental health tools without fully understanding what data is collected, how it is used, who can access it, how fairness is monitored, and what happens when something goes wrong. When transparency is unclear, trust drops and the risks increase in sensitive contexts like mental health.
I focus on a communication gap, not just a technical gap. Many AI governance principles exist, but everyday users and even frontline teams often cannot translate them into:
understandable consent experiences,
clear data-use explanations,
visible accountability,
and usable resource pathways.
I built this portal to convert governance expectations into communication artifacts that stakeholders can actually use.
Phase 1 - Research & scope definition
I narrowed the project to AI-enabled mental health contexts (ages 18–50) and defined the five trust pillars: consent, privacy, fairness, auditability, and recourse.
Phase 2 - Framework design
I translated secondary research and governance guidance into a practical stewardship framework and mapped it to “what users should see” (transparency).
Phase 3 - Prototype and resource development
I designed the dashboard prototype and built a downloadable toolkit (including checklists and templates) to enable repeatable implementation.
Phase 4 - Public portal build
I published this website as a campaign hub to host all resources, explain concepts simply, and connect users directly to the prototype and downloads.
I measure success through clarity and action
People understand consent and data use within minutes.
Institutions can apply the checklists and templates.
Users know exactly how to raise concerns and access recourse.
Trust increases because accountability becomes visible.