Artificial Intelligence/Machine Learning (AI/ML) Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD)

Event Details

Meeting Objectives

This virtual forum aims to bring together stakeholders across academia, federal agencies, the data science/technology industry, and health care systems and centers who are interested in leveraging artificial intelligence and machine learning (AI/ML) for research with a primary focus on mitigating health disparities. The purpose of this meeting will be to provide an overview of the AI/ML for health disparities research initiatives and then engage attendees in listening sessions via breakout groups focused on three main topics: research interests, computing infrastructure and resources, and training needs. The meeting will conclude with reports from the breakout groups regarding their discussions and a final summary of the forum discussion and anticipated next steps.

Stakeholder Forum & General Questions
AIM-AHEAD@od.nih.gov

In addition to this stakeholder forum, and as part of the public engagement process, NIH is currently accepting comments through a Request for Information (RFI): Inviting Input to Broaden the Benefits of AI/ML Technologies to Reduce Health Disparities and Inequities and Enhance the Diversity of the AI/ML Workforce. Please submit your comment through the web portal by July 9, 2021.

Questions about the RFI
AIM-AHEAD_RFI@od.nih.gov

Video Recording

Registration Deadline

June 23, 2021

Agenda

June 25, 2021

1:00 p.m.–1:05 p.m.

Opening Remarks
Lawrence Tabak, D.D.S., Ph.D., Principal Deputy Director, National Institutes of Health (NIH)

1:05 p.m.–1:15 p.m.

Background of the Initiative
Dina N. Paltoo, Ph.D., M.P.H., Assistant Director, Scientific Strategy and Innovation, Immediate Office of the Director, National Heart, Lung, and Blood Institute (NHLBI), NIH

1:15 p.m.–1:25 p.m.

Potential of AI/ML for Health Disparities Research
Irene Dankwa-Mullan, M.D., M.P.H., Deputy Chief Health Officer and Chief Health Equity Officer, IBM Watson Health, IBM Corp.

1:25 p.m.–1:35 p.m.

A Seat at the (Data) Table: Enhancing the Diversity of the AI/ML Workforce
Talitha M. Washington, Ph.D., Director, Data Science Initiative, Atlanta University Center Consortium

1:35 p.m.–2:35 p.m.

Concurrent Breakout Sessions
Research
Training
Infrastructure

2:35 p.m.–3:05 p.m.

Break to Prepare Breakout Group Summary

3:05 p.m.–3:45 p.m.

Breakout Group Report Back and Large Group Discussion

3:45 p.m.–4:00 p.m.

Summary and Next Steps
Nicole Redmond, M.D., Ph.D., M.P.H., Physician, NHLBI, NIH