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AI for Healthcare

Equity Conference  

April 12th, 2021 — 9am EDT

Virtual Conference

Registration has closed.

Our Mission

The potential of AI to bring equity in healthcare has spurred significant research efforts across academia, industry and government.  Racial, gender and socio-economic disparities have traditionally afflicted healthcare systems in ways that are difficult to detect and quantify.  New AI technologies, however, provide a platform for change. By bringing together thought leaders in these fields, we will assess the current state-of-the-art work in this space, identify key areas of impact, and present machine learning techniques that support fairness, personalization and inclusiveness.  We will also discuss the regulatory and policy implications of such innovations. 

Areas of Focus

Algorithms for Fairness

and Debiasing

Learning to Personalize

Clinical Care

Data Sources for

Equitable Healthcare

Evaluation of

AI Algorithms

Regulatory Issues for

Robust AI Deployment

AI Fixes for

Health Inequities 

Racial Disparities

in Health Outcomes

Race and

Medical Mistrust 


Registration has closed.

Our Speakers


Sharrelle Barber

Assistant Professor of Epidemiology, Drexel University


Irene Chen

Ph.D Student, Machine

Learning, MIT


Industry Assistant Professor at NYU Tandon School of Engineering


Najat Khan