After Cansus's presentation last week, I think many of you have grown interest in AI and Fairness. Here is a lecture from an MIT PhD student coming up on Friday morning that may help you get more insight into this. 

Best Regards,
Ishtiaque

Syed Ishtiaque Ahmed
Assistant Professor
Department of Computer Science
University of Toronto, ON, CA


---------- Forwarded message ---------
From: Marzyeh Ghassemi <marzyeh@cs.toronto.edu>
Date: Tue, Jan 29, 2019 at 10:40 AM
Subject: ML/Fairness/Health Talk of Interest
To: <newprofs@cs.toronto.edu>
Cc: Anna Goldenberg <anna.goldenberg@vectorinstitute.ai>, Frank Rudzicz <frank@vectorinstitute.ai>, Quaid Morris <quaid@vectorinstitute.ai>, Bo Wang <bowang@vectorinstitute.ai>


Hi all!

I wanted to advertise a guest lecture for my Thursday class to new faculty!

This Thursday (Jan 31, 2019), Irene Chen will give a guest lecture in CSC2541 on Machine Learning with Fairness, Ethics, and Healthcare. The lecture will be at 10 AM - 11 AM in room MS 4279, followed by student talks on recent work in machine learning on fairness and health. Her paper Why is My Classifier Discriminatory? was accepted to NeurIPS 2018 in Montreal as a Spotlight Presentation.

Irene Chen is a Ph.D. candidate at MIT CSAIL, advised by Professor David Sontag in the Clinical Machine Learning group. Her research focuses on machine learning and its applications to solving important real-world problems including healthcare and fairness. Prior to MIT, Irene worked at Dropbox as Data Scientist, Chief of Staff, and Machine Learning Engineer. She graduated from Harvard with a joint AB/SM in Applied Math and Computational Engineering where she researched with Michael Luca and Ben Edelman.

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Thanks,
Dr. Marzyeh Ghassemi, MIT CSAIL
University of Toronto, Faculty of Computer Science and Medicine
Canadian CIFAR AI Chair, Vector Institute