T-CAIREM seeks trainee to lead production of a position paper (DEADLINE:????)

Opportunity

T-CAIREM is looking for a current trainee to lead the production of a position paper. This will include forming a working group consisting of academics across the T-CAIREM Network, conducting a literature review, writing the paper, and overseeing the editorial process. The trainee leading this effort will be listed as the first author of this work. (Applicants for this role can be graduate students, post-doctoral fellows, or clinical residents.)

The Position Paper

Foundation models in healthcare possess significant potential to revolutionize diagnostics, personalized medicine, and clinical decision-making. However, challenges related to fairness and bias remain critical concerns. These models are trained on extensive datasets that may reflect historical biases in healthcare, encompassing racial, gender, and socioeconomic disparities. It's essential to explore the current status of foundation models in healthcare, including risks, biases, and opportunities for responsible growth in a timely manner. If left unaddressed, biases in training data, models, and testing can result in inaccurate predictions or unequal treatment outcomes, further exacerbating existing inequities.

T-CAIREM's academic community is developing a position paper to identify the root causes of potential biases in foundation models and to tackle the challenge of debiasing before implementing these models on a large scale. This initiative will be co-supervised by Dr. Laleh Seyyed-Kalantari.

About The Supervisor

Dr. Laleh Seyyed-Kalantari is an Assistant Professor at York University's Lassonde School of Engineering. She conducted postdoctoral research at the Vector Institute and the University of Toronto as an NSERC fellow (2019-2022). She holds a Ph.D. in electrical engineering from McMaster University (2017). Her research interests are responsible AI, generative AI, and AI fairness. Dr. Seyyed-Kalantari has garnered prestigious awards such as Google Research Scholar Program award (2024), Banting Postdoctoral Fellowship (2022-declined) and NSERC Postdoctoral Fellowship (2018), among others. She has received recognition for her contributions to AI model fairness in medical imaging, featured in various tech news outlets.

APPLICATION DEADLINE DATE WILL GO HERE

BUTTON WILL GO HERE: Click to apply: https://lmp.forms-db.com/view.php?id=607283

For more information, contact: 
Dr. Laleh Seyyed-Kalantari
lsk@yorku.ca
https://responsibleai.eecs.yorku.ca/