Schedule
Saturday, October 19 (9am – 5pm)
Day 1 Objectives
- Introduce the Generative AI and Predictive AI Best Practice Guidance and Testing and Evaluation Frameworks
- Demonstrate how to apply metrics, measures, and methods using a real-world Generative AI and Predictive AI use case.
- Solicit feedback from audience
- Launch first frameworks for Assurance Lab Accreditation
- Present the first iteration of Model Cards
Welcome reception / Breakfast
Welcome and Opening Remarks
Session Title: Setting the Stage for Responsible AI in Healthcare
Speakers
Brian Anderson
CEO – Coalition for Health AI
Keynote from Dr. John Halamka
CHAI Board Chair and President of the Mayo Clinic Platform
Generative AI Best Practices and T&E Framework
Overview: A comprehensive walkthrough of the draft best practices and the T&E framework, as it relates to the selected use case: Note Summarization.
Speakers
Karandeep Singh, MD, MMS
Chief Health AI Officer at UC San Diego Health
Sara Murray, MD, MAS
Vice President, Chief Health AI Officer for UCSF Health
Zack Lipton, PhD
CTO/CSO at Abridge, Raj Reddy Associate Professor of Machine Learning at Carnegie Mellon
Predictive AI Real-World Use Case: Applying Best Practices and T&E Framework
Overview: A comprehensive walkthrough of the sepsis use case, demonstrating the application of both the best practices and the T&E framework.
Speakers
Geralyn Miller
Co-founder and Head of AI for Health, Microsoft
Ram Rimal
Manager of Data Science Engineering at UNC Health Care
Quality Assurance Lab Certification Framework Presentation
Overview: A look into the quality assurance lab proof of concept being driven by Dandelion, Qualified Health, UTMB and a first look at CHAI’s Certification Framework
Speakers
Elliot Green
CEO and Co-Founder of Dandelion Health AI
Justin Norden
Co-Founder and CEO of Qualified Health
Beau Norgeot
Co-Founder at Qualified Health
Peter McCaffrey
CTO and Co-Founder of Pragma Bio
Brenton Hill
Head of Operations and General Counsel for CHAI
Model Card Presentation
Overview: A presentation on the need for transparency, inventory and registration and how a model card is necessary for national standards, and an introduction to the CHAI-endorsed model report card
Speakers
Christine Swisher
VP Health Data Intelligence @ Oracle
Dr. Michael Pencina
Chief Data Scientist for Duke Health
Demetri Giannikopoulos
Chief Transformation Officer, AIDOC
Breakout Discussions: Discussion of Use Cases & Frameworks
- Quality Assurance Lab Framework & Model Card
Sunday, October 20 (9am – 5pm)
Day 2 of CHAI’s Global Summit is about diving into the detail of three areas: Assurance Labs, Direct-to-Consumer and Public Health.
Location: The Venetian, Level 1 (Room number: Casanova 601)
Capacity of the room: 60
CHAI will be hosting three back-to-back 90 minute sessions to deep dive into the following topics:
09:00 – 10:30 am Workgroup 1: Assurance Labs
This session will be led by leaders of the Quality Assurance Lab workgroup and will be building off the certification framework launched on Day 1. We will be setting the vision for the workgroup, discussing concerns and considerations for achieving the vision, and setting objectives & outcomes for the next 3, 6, 9 months. We want it to be a highly interactive, engaging workshop-style format and all perspectives are welcome. We look forward to seeing you there.
10:30 – 12:00 pm Workgroup 2: Direct to patients
This session will be led by Jing Wang and David Norris, leaders of the Direct-to-Consumer workgroup, and Randy Rutta, CEO of National Health Council. We’ll be hearing about the newly set vision and scope of the workgroup, using the perspectives in the room to gather a landscape analysis of related work, such as The Light Collective’s Rights work, and inputting and aligning around the expectations and outcomes for this group.
1 – 2:30 pm Workgroup 3: Public Health
This session will be led by Dr Umair Shah, Health Secretary for Washington State, and Health Commissioner Ashwin Vasan for New York City.
We will be hearing from them about their respective priorities for Public Health, which will frame two workshop activities that will help us scope and set objectives for the Public Health workgroup, due to launch in Q1 2025.
You are welcome to join whichever session feels apt. Please note these sessions will not be recorded or live-streamed, and will be a more focused (c.50-person) interactive discussion on how CHAI can serve these groups, and the scope and roadmap to get there.
