AI for Mental Health

Counselor copilots, motivational interviewing analytics, and therapy-support pipelines.

AI for Mental Health

This theme focuses on building trustworthy copilots for peer-support counselors: simulation sandboxes, MI-aware feedback, and analytics that keep humans in the loop.

  • LLM Copilots for Peer Counselors - Practice environments, rubric-aligned feedback, and deployment results.
  • Helping the Helper / Multi-Level Feedback Generation - Empirical evidence from CSCW, CHI, and ACL venues.

Highlights

  1. Skill Modeling & Data Pipelines
    • Motivational interviewing annotations at scale
    • Turn-level intent + strategy tagging for nuanced feedback
  2. Practice & Feedback Loops
    • LLM-driven seeker simulations with immediate coaching
    • Tiered suggestions (“Try a double-sided reflection”) grounded in transcripts
  3. Platform Analytics & Safety
    • Dashboards that surface counselor progress and risk flags
    • Upcoming randomized trials showing real-world skill uplift

Ways to Engage

  • Integrate the coaching sandbox into your peer-support platform
  • Collaborate on new MI annotation drives or safety overlays
  • Join the randomized evaluations to test efficacy in your community

If you operate in mental health tech or digital well-being, let’s talk-we’re actively sharing tools and study designs.