Gaël Varoquaux

computer / data / health science

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AI for health: the impossible necessity of unbiased data

Image generated with "LeChat", with the prompt "Please generate a fairly abstract image of biased data. The image is about data. It should have numbers, streams of numbers. It should express the notion of bias, showing a black woman in the middle of the stream of numbers."

Is unbiased data important to build health AI? Yes!

Can there be unbiased data? No!

Building health on biased data discriminates

The notion of bias depends on the intended use.


In medicine, we have seen the importance of tuning devices and decisions for the target population. The problem is not …

13 February 2025

2022, a new scientific adventure: machine learning for health and social sciences

A retrospective on last year (2022): I embarked on a new scientific adventure, assembling a team focused on developing machine learning for health and social science. The team has existed for almost a year, and the vision is nice shaping up. Let me share with you illustrations of where we …

31 January 2023

2020: my scientific year in review

The year 2020 has undoubtedly been interesting: the covid19 pandemic stroke while I was on a work sabbatical in Montréal, at the MNI and the MILA, and it pushed further my interest in machine learning for health-care. My highlights this year revolve around basic and applied data-science for health.

Highlights …

05 January 2021

 
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