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ReportMental HealthAIHe@lioYouthUniversity

He@lio Chatbot Pilot Program — UW MSIM Capstone

January 1, 2026

Amber Lee · Casey Frizzell · Jaspreet Bhamipuri · Ko-Ching Lu · Rebecca Ko · Saba Ziadlou · Tim Joo · Trudy Xia · Veronica Lee · Yeneneh Wakjira

5 min read

Program Overview

A six-month collaborative research program with University of Washington Master of Science in Information Management (MSIM) students as part of their Capstone project. Each phase focuses on a distinct dimension of responsible AI deployment in mental health contexts — building toward a comprehensive evaluation of He@lio's effectiveness, safety, and ethical posture.

6

Research Phases

6

Months Duration

UW

MSIM Capstone 2026

MSIM Capstone Researchers

University of Washington

Amber Lee · Casey Frizzell · Jaspreet Bhamipuri · Ko-Ching Lu · Rebecca Ko · Saba Ziadlou · Tim Joo · Trudy Xia · Veronica Lee · Yeneneh Wakjira

Project Sponsors

Compassion8Innovation

Joydeep Hazra · Brian Ho

Supported by: Amazon · Bellevue School District

He@lio Pilot Program — UW MSIM Capstone overview

Phase Tracker

Program Phases

January – June 2026 · 6 Phases

Phase 1Completed

Study of Mental Health Topics

Teams received AI fundamentals training from Google experts and conducted in-depth research into mental health topics affecting teens. The goal was to ground the research in real-world youth mental health challenges before engaging with He@lio's AI system.

Phase 2In Progress

Do No Harm

Establishing safety guardrails to ensure He@lio does not suggest, imply, or reinforce harmful behaviours. This phase evaluates the chatbot's responses across high-risk mental health scenarios including crisis situations, self-harm language, and harmful coping suggestions.

Phase 3Upcoming

Topic to be announced

Phase 4Upcoming

Topic to be announced

Phase 5Upcoming

Topic to be announced

Phase 6Upcoming

Final Outcomes & Recommendations

Phase 1Study of Mental Health Topics

CompletedJanuary 2026

Teams received AI fundamentals training from Google experts and conducted in-depth research into mental health topics affecting teens. The goal was to ground the research in real-world youth mental health challenges before engaging with He@lio's AI system.

  • Received hands-on AI fundamentals training from Google experts, including prompt engineering best practices for large language models (LLMs).
  • Conducted extensive research into teen mental health topics including depression, anxiety, bullying, eating disorders, and substance use.
  • Studied how to craft effective prompts to generate reliable, safe, and useful AI responses in a mental health context.
  • Combined AI training with mental health research to begin preparing He@lio to recommend content that is safe, evidence-informed, and appropriate for students.

Phase 2Do No Harm

In ProgressFebruary 2026

Establishing safety guardrails to ensure He@lio does not suggest, imply, or reinforce harmful behaviours. This phase evaluates the chatbot's responses across high-risk mental health scenarios including crisis situations, self-harm language, and harmful coping suggestions.

  • Reviewed He@lio's response corpus against established mental health safety frameworks including Safe Messaging Guidelines (AFSP) and Crisis Text Line protocols.
  • Identified and flagged response patterns that could inadvertently minimise distress signals or provide ambiguous guidance in crisis contexts.
  • Began iterative prompt and guardrail refinement in collaboration with the Compassion8Innovation team to harden response safety.

This is a living document — updated as each phase of the pilot program progresses.

A final outcomes report with recommendations will be published upon program completion in June 2026.

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