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.

Nature Medicine
(December 2021)

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

The Lancet Digital Health
(November 2022)

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

Radiological Society of North America
(July 2023)

The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups