Dr. Laleh Seyyed-Kalantari

The ‘Responsible AI’ Lab at York University, led by Dr. Laleh Seyyed-Kalantari, focuses on highlighting and improving the fairness of artificial intelligence (AI) models. Without loss of generality AI in healthcare is one of our main areas of focus. Our goal is to remove barriers toward the trustable deployment of AI models in practice, such that they benefit all users regardless of their membership to different subpopulations of race, age, sex, social-economic status, etc.

Featured Publications

The Lancet Digital Health (November 2022)

AI recognition of patient race in medical imaging: a modelling study

Nature Medicine
(December 2021)

Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations

Featured in Tech. News

Our 'Nature Medicine' paper demonstrating underdiagnosis bias amplification on AI medical image diagnostic tools was featured in the following tech news:

Rising to the challenge of bias in healthcare AI, Nature Medicine news & Views, Dec. 10, 2021.
Trained to underdiagnose, The Imaging Wire, Dec. 16, 2021.
Vector Institute Research highlights, Neural Net News, Dec. 21, 2021.
We need a fairness check in AI pipelines, Artificial Intelligence in Medicine (AIMED), Feb. 24, 2022.

Our 'The Lancet Digital Health' paper on demonstrating AI can detect patient’s race from the medical image was featured in the following tech news among the others:

Study shows AI deep learning models can detect race in medical imaging, KMGH-TV (channel 7) is a television station in Denver, Colorado, United States, affiliated with ABC Television Network, May. 24, 2022.
AI recognises patient’s racial identity in medical images, AIMED, May 26, 2022.
AI’s Ability To Predict Race From X-Rays Alone Sparks, UNILAD, UK, May 23, 2022.
Imaging AI’s Unseen Potential. The Imaging Wire. May. 22, 2022.
Artificial intelligence predicts patients’ race from their medical images, MIT News, May 20, 2022.
AI Can Predict People's Race From X-Ray Images, And Scientists Are Concerned, ScienceAlert, Australia, May 19, 2022.
AI can tell your race from an X-ray image — and scientists can't figure out how, National Post, May 17, 2022.
Study: AI deep learning models can predict race from imaging results, MobiHealthNews, May 17, 2022.
MIT, Harvard scientists find AI can recognize race from X-rays — and nobody knows how, The Boston Globe, May. 15, 2021.
Policy brief – Risks of AI race detection in the medical system, Stanford University Human-Centered Artificial Intelligence, Dec. 2021.
Artificial intelligence can guess a person’s race with up to 99% accuracy just by looking at their X-rays or other medical scans, Daily Mail, Aug. 25, 2021.
AI can guess your race based on X-rays, and researchers do not know how, VICE newsletter, TECH, Aug. 23, 2021.
Who will save us from racist AI?, Quillette, Aug. 15, 2021.
AI Sees Race in X-Rays. The Batch, Essential news for deep learners. Aug. 11, 2021.
These Algorithms Look at X-Rays—and Somehow Detect Your Race, Wired Aug. 5, 2021.
Reading race. The Imaging Wire. Aug. 5, 2021.

Lancet Digital Health

April, 2022

We have been interviewed by the editor-in-chief of The Lancet Digital Health journal to recorde a podcast about our race detection paper .

Artificial Intelligence in Medicine (AIMED)

May, 2021

I was featured as ‘AI Champions’ in Artificial Intelligence in Medicine (AIMED).

Our PSB 2021 conferance paper on demonstrating lack of fairness in disease diagnosis medical image classifiers was featured in:

Researchers find evidence of racial, gender, and socioeconomic bias in chest X-ray classifiers. Venture Beat, The Machine making sense of AI. Oct. 21, 2020.
Vector Institute, Internal Newsletter, Oct. 26, 2020.
Vector Institute Research highlights, Neural Net News, Nov. 12, 2020.