Oregon State University

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Event Details

Colloquium: Algorithmic Fairness: From social good to mathematical framework

Monday, November 7, 2016 4:00 PM - 4:50 PM

Suresh Venkatasubramanian, associate professor
University of Utah

Machine learning has taken over our world, in more ways than we realize. You might get book recommendations, or an efficient route to your destination, or even a winning strategy for a game of Go. But you might also be admitted to college, granted a loan, or hired for a job based on algorithmically enhanced decision-making. We believe machines are neutral arbiters: cold, calculating entities that always make the right decision, that can see patterns that our human minds can’t or won’t. But are they? Or is decision-making-by-algorithm a way to amplify, extend and make inscrutable the biases and discrimination that is prevalent in society?

To answer these questions, we need to go back — all the way to the original ideas of justice and fairness in society. We also need to go forward — towards a mathematical framework for talking about justice and fairness in machine learning. I will talk about the growing landscape of research in algorithmic fairness: how we can reason systematically about biases in algorithms, and how we can make our algorithms fair(er).

Additional information:http://eecs.oregonstate.edu/colloquium-series

Dearborn Hall (campus map)
1 541 737 3617
Sch Elect Engr/Comp Sci
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