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Fairness: A Formal-Methods Perspective

  • Aws AlbarghouthiEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11002)

Abstract

Sensitive decisions of large-scale societal impact are increasingly being delegated to opaque software—a trend that is unlikely to slow down in the near future. The issue of fairness and bias of decision-making algorithms has thus become a multifaceted, interdisciplinary concern, attracting the attention of computer scientists, law scholars, policy makers, journalists, and many others. In this expository paper, I will outline some of the research questions we have been studying about fairness through the lens of formal methods.

Notes

Acknowledgements

The work described in this talk is in collaboration with a fantastic group of students and researchers: Samuel Drews, Aditya Nori, Loris D’Antoni, Justin Hsu, Calvin Smith, and David Merrell. The work described is generously supported by the National Science Foundation (NSF) grant #1704117.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.University of Wisconsin–MadisonMadisonUSA

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