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Computational Philosophy and Data-driven Science

In an incredibly short period, we've gone from seeing data mining as a novelty tool to watching data science and the power of machine learning upend every aspect of the world we live in. From the mundane -- shopping recommendations -- to the profound -- deciding whether we remain free, and for how long --, data-driven modeling and decision-making has forced us to reexamine how we make decisions in society, whether machine learning  can discern more about us than we can perceive, and what it even means to truly "know" anything in the age of fake news and data-driven scientific exploration. 
 
In this talk I wll focus on two aspects of this epistemological shift. Firstly, I'll discuss the growing and urgent ethical challenges posed by automated decision making and how we might use the tools of data analysis to address these concerns. Secondly, I'll talk about how machine learning changes the nature of scientific discovery, and how we might instrument our learning tools to aid in understanding rather than prediction. 

Bio

Suresh Venkatasubramanian is a professor at the University of Utah. His background is in algorithms and computational geometry, as well as data mining and machine learning. His current research interests lie in algorithmic fairness, and more generally the problem of understanding and explaining the results of black box decision procedures. Suresh was the John and Marva Warnock Assistant Professor at the U, and has received a CAREER award from the NSF for his work in the geometry of probability, as well as a test-of-time award at ICDE 2017 for his work in privacy. His research on algorithmic fairness has received press coverage across North America and Europe, including NPR’s Science Friday, NBC, and CNN, as well as in other media outlets. He is a member of the board of the ACLU in Utah, and is a member of New York City’s Failure to Appear Tool (FTA) Research Advisory Council.

Speaker

Suresh Venkatasubramanian

Date

Thursday, November 2, 2017

Time

1pm - 2:15pm

Location

Laufer Center Auditorium 101