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(Deep) Learning from the Bench: A Conversation on Algorithmic Fairness with Professor Martha Minow and Justice Rosalie Silberman Abella

February 12, 2024

3:00 pm - 5:30 pm

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WCC; 2036 Milstein East B

As algorithmic decision-making becomes increasingly pervasive, it raises challenging issues pertaining to equality and equity. Join us for a timely discussion on fairness and technology grounded in Professor Minow’s forthcoming article (https://utpjournals.press/doi/abs/10.3138/utlj-2023-0064?role=tab&journalCode=utlj) about Justice Abella’s equality jurisprudence. This conversation will delve into Justice Abella’s pivotal contributions to defining equality in Canada, and how they might guide our approach to algorithmic fairness. As machine learning and other algorithmic predictive tools rely on biased data and produce disparate outcomes, they highlight unresolved tensions and limitations in legal frameworks in the U.S., Canada and EU pertaining to equality and non-discrimination. Exploring the tension between formal and substantive approaches, the speakers will unpack the renewed challenges we face today as discrimination manifests through algorithmic systems, and suggest paths forward to better confront algorithmic harms on the ground.

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February 12, 2024, 3:00 pm - 5:30 pm

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