Breaking Barriers: Humanized and Racially Matched AI to Reduce Mental Health Stigma

📅2025 - Ongoing 👥Community-Based Participatory Research 🎯Mental Health Stigma Reduction

This groundbreaking project examines how humanized, racially matched AI can help reduce mental health stigma in diverse communities. By leveraging artificial intelligence in culturally responsive ways, we aim to create more accessible pathways to mental health support for underserved populations.

Research Focus: Investigating whether AI chatbots that reflect users' racial and cultural identities can reduce barriers to seeking mental health support and decrease stigma around mental health challenges.

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A Design-Based Pilot of an AI-Assisted Psychoeducational Chatbot to Enhance Self-Management Skills Among Middle Grade Students 

📅2026 - Ongoing 🏫K-12 School Focus 🤖AI Ethics & Safety

Moving beyond commercial "black box" applications, this project utilizes a Design-Based Research (DBR) framework to co-design "CounselorBot-S," a chatbot explicitly aligned with American School Counselor Association (ASCA) Self-Management Skills.

Key Innovation: The "Community-in-the-Loop" model ensures school counselors and parents shape the ethical architecture of educational AI tools, rather than having technology imposed from the top down.

Expected Outcomes: A stakeholder-validated prototype, School AI Integration Toolkit, and evidence-based framework for evaluating school-based AI interventions.

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