Use Case Work Groups
Description
The Ambient AI Work Group aims to develop a practical, evidence-based, vendor-neutral Ambient AI Implementation Playbook that provides consensus-defined best practices to enable safe, effective, system-level rollout of Ambient AI technologies.
Timeline
Q1 2026 - Q2 2026
Goals
Develop Responsible AI content that focuses on:
Best Practice Guidance
Methods, metrics, and benchmarks to evaluate responsible use of ambient AI solutions
Output
Will be available upon completion of Ambient AI Work Group (end of Q2 2026)
Best Practice Guidance
link to documentation once availableTesting & Evaluation Framework
link to GitHub once available
Work Group Leads
Name | Organization |
|---|---|
R. Logan Jones | Oregon Health & Science University |
Taylor Anderson | Oregon Health & Science University |
Sudha Jayaraman | Suki |
Brittney Harrell | Nabla |
Erin Palm | Infinitus |
