This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Toronto directory, so their courses and email address may be missing. Find their university profile.
Latest papers
A general framework for governing marketed AI/ML medical devices.
NPJ digital medicine · 2025 · first author
How AI can learn from the law: putting humans in the loop only on appeal.
NPJ digital medicine · 2023
Beware explanations from AI in health care.
Science (New York, N.Y.) · 2021 · first author
Latest funding
- $26,759
From Observed Disparity to Historical Inequality: A Data-Centric Approach to Machine Bias
SSHRC · 2022 · Principal investigator
- $18,639
From Observed Disparity to Historical Inequality: A Data-Centric Approach to Machine Bias
SSHRC · 2022 · Principal investigator
3 publications.
A general framework for governing marketed AI/ML medical devices.
Babic B, Glenn Cohen I, Stern AD, Li Y, Ouellet M
How AI can learn from the law: putting humans in the loop only on appeal.
Cohen IG, Babic B, Gerke S, Xia Q, Evgeniou T, Wertenbroch K
Beware explanations from AI in health care.
Babic B, Gerke S, Evgeniou T, Cohen IG
From Observed Disparity to Historical Inequality: A Data-Centric Approach to Machine Bias
Principal investigators: Babic, Boris
Keywords: bias; ethics; fairness; algorithms; algorithmic justice
From Observed Disparity to Historical Inequality: A Data-Centric Approach to Machine Bias
Principal investigators: Babic, Boris
Keywords: bias; ethics; fairness; algorithms; algorithmic justice
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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