CHAI Global Summit: Getting to the heart of Responsible Health AI 

  • We will share and discuss public feedback on our Assurance Standards Guide
  • We will share an assurance lab use case, and practical insights and lessons learned across the lifecycle
  • We will present and share our initial draft frameworks for Generative and Predictive AI for public review
  • We will provide opportunities for networking with colleagues across the Health AI ecosystem
  • Workgroup Chairs will provide updates and host break out sessions
  • Our independent Assurance Lab partners will be previewing in advance of their demos at the AI@HLTH pavilion

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Schedule

Times and detailed agenda coming soon

Day 1

Saturday, October 19

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

Theme: Introducing the Summit

9:00-9:30 AM

Welcome and Opening Remarks 

Session Title: Setting the Stage for Responsible AI in Healthcare

Speakers:

Keynote from Dr. John Halamka, CHAI Board Chair and President of the Mayo Clinic Platform

Brian Anderson (CEO)

9:30-10:00 AM

Keynote Fireside – Speaker TBC

10:00- 10:45 AM

Generative AI Best Practices and T&E Framework

Speakers:

Karandeep Singh, MD, MMS, Chief Health AI Officer at UC San Diego Health

Sara Murray, MD, MAS, is 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

Overview: A comprehensive walkthrough of the draft best practices and the T&E framework, as it relates to the selected use case: Note Summarization.

10:45-11:00 AM

BREAK

11:00-11:45 AM

Predictive AI Real-World Use Case: Applying Best Practices and 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

Overview: A comprehensive walkthrough of the sepsis use case, demonstrating the application of both the best practices and the T&E framework.

11:45- 12:15 PM

Moderated Discussion & Q&A  with Dr Michael Pencina, Chief Data Scientist for Duke Health

12:15- 1:15 PM

LUNCH

1:15- 2:00 PM

Assurance Lab Accreditation Framework Presentation


Overview: A look into the quality assurance lab proof of concept being driven by Sharp, UCSD, and Dandelion, Qualified Health, and a first look at CHAI’s Accreditation 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

Brenton Hill, Head of Operations and General Counsel for CHAI

Peter McCaffrey, CTO and Co-Founder of Pragma Bio

2:00- 2:30 PM

Model Card Presentation

Speakers:

Keynote from Christine Swisher, VP Health Data Intelligence @ Oracle

Dr Michael Pencina, Chief Data Scientist for Duke Health


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

2:30-2:45 PM

BREAK

2:45-3:45 PM

Breakout discussions: Discussion of Use Cases & Frameworks


  • AI Developer
  • AI Users 
  • Consumers
  • Government 

4:00-4:30 PM

Report out & next steps

4:30 onwards

Close 

5:30 PM- Onwards

Drinks & Reception

Day 2

Sunday, October 20

For information, we have one large boardroom (capacity: 50) booked for the day. We will be holding open-door workgroup sessions, for attendees from Day 1 to attend.

For paid members, please use the discount code provided to you via email