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Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk)

Author Sorelle Friedler



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Author Details

Sorelle Friedler
  • Department of Computer Science, Haverford College, Haverford, Pennsylvania, USA

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Sorelle Friedler. Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk). In 16th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 101, p. 2:1, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.SWAT.2018.2

Abstract

Algorithms are increasingly used to make high-stakes decisions about people; who goes to jail, what neighborhoods police deploy to, and who should be hired for a job. But if we want these decisions to be fair, this means we must take societal notions of fairness and express them using the language of math. What is a fair decision and how can it be guaranteed? In this talk, we'll discuss recent work from the new and growing field of Fairness, Accountability, and Transparency. We will examine technical definitions of fairness and non-discrimination that have been proposed and their societal counterparts. We'll also discuss methods for ensuring that algorithms are making decisions as desired, from methods to audit black-box algorithms to white-box interpretability techniques. This important field necessitates societally informed and mathematically rigorous work; we'll discuss open problems in this light.

Subject Classification

ACM Subject Classification
  • Security and privacy → Social aspects of security and privacy
Keywords
  • algorithmic fairness

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