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For the Public Good? Values and Accountability in AI and Data Science
November 1, 2018 @ 7:30 pm - 9:00 pm
Free
Artificial intelligence (AI) and data-intensive science are influencing all aspects of our lives. Our smart phones and search engines anticipate our needs and preferences, driverless cars and autonomous military weapons are no longer the stuff of SciFi, and life-changing judgments about everything from medical diagnoses and credit ratings to college admissions and parole decisions are informed by algorithm-driven data analysis. Yet questions about which data sets to mine, how a particular algorithm is constructed, and what kind of transparency we can demand for these powerful technologies persist. The Philosophy of Science Association invites the public to join us in exploring these important issues:
-What assumptions are built into the algorithms that make data mining and AI possible?
-How should developers change their practice to address encoded values?
-And ultimately, what “public good” should data science and AI serve?
Please join us for a discussion of these important topics. Open to the public. No registration or tickets are required.
Panelists: Heather Douglas (Associate Professor of Philosophy, Michigan State University), Eric Horvitz (Technical Fellow and Director of Microsoft Research Labs), and Sabina Leonelli (Professor of Philosophy and History of Science, University of Exeter). Moderator: David Danks, Thurstone Professor of Philosophy and Psychology (Carnegie Mellon University)
Presented by the Philosophy of Science Association, this Public Forum is generously sponsored by Microsoft, the University of Maryland, Baltimore County, and the Simpson Center for the Humanities, the Department of Philosophy, and the Science, Technology, and Society Studies at the University of Washington.
The Philosophy of Science Association, founded in 1933, is the premiere international association dedicated to the study of philosophy of science. The PSA promotes research, teaching, and free discussion of issues in the philosophy of science from diverse standpoints.
