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Democracy & Distrust in an Era of Artificial Intelligence
Daedalus ( IF 1.340 ) Pub Date : 2022-01-01 , DOI: 10.1162/daed_a_01919
Sonia K. Katyal

Abstract Our legal system has historically operated under the general view that courts should defer to the legislature. There is one significant exception to this view: cases in which it appears that the political process has failed to recognize the rights or interests of minorities. This basic approach provides much of the foundational justifications for the role of judicial review in protecting minorities from discrimination by the legislature. Today, the rise of AI decision-making poses a similar challenge to democracy's basic framework. As I argue in this essay, the rise of three trends-privatization, prediction, and automation in AI - have combined to pose similar risks to minorities. In this essay, I outline what a theory of judicial review would look like in an era of artificial intelligence, analyzing both the limitations and the possibilities of judicial review of AI. Here, I draw on cases in which AI decision-making has been challenged in courts, to show how concepts of due process and equal protection can be recuperated in a modern AI era, and even integrated into AI, to provide for better oversight and accountability.

中文翻译:

人工智能时代的民主与不信任

摘要 我国的法律制度历来是在法院应服从立法机关的普遍观点下运作的。这种观点有一个重大例外:政治进程似乎未能承认少数群体的权利或利益的情况。这种基本方法为司法审查在保护少数群体免受立法机关歧视方面的作用提供了许多基本理由。今天,人工智能决策的兴起对民主的基本框架提出了类似的挑战。正如我在这篇文章中所说,人工智能中的私有化、预测和自动化这三种趋势的兴起共同对少数群体构成了类似的风险。在这篇文章中,我概述了人工智能时代的司法审查理论会是什么样子,分析人工智能司法审查的局限性和可能性。在这里,我借鉴了人工智能决策在法庭上受到质疑的案例,展示了正当程序和平等保护的概念如何在现代人工智能时代得到恢复,甚至融入人工智能,以提供更好的监督和问责.
更新日期:2022-01-01
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