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首页> 外文期刊>LIPIcs : Leibniz International Proceedings in Informatics >Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk)
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Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk)

机译：优化社会？确保自动化决策中的公平性（特邀演讲）

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摘要

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.
机译：算法越来越多地用于对人进行高风险的决策。谁入狱，警察部署到哪些街区以及应该雇用谁从事工作。但是，如果我们希望这些决定是公平的，那就意味着我们必须采取社会公平的观念，并使用数学语言来表达它们。什么是公平的决定以及如何保证？在本次演讲中，我们将讨论公平，问责和透明度这一新兴领域中的最新工作。我们将研究已提出的公平和不歧视的技术定义及其对应的社会定义。我们还将讨论确保算法能够根据需要做出决策的方法，从审计黑盒算法到白盒可解释性技术的方法。这个重要领域需要社会上知情和数学上严格的工作;我们将据此讨论未解决的问题。

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