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.
机构:
Department of Ethics Education, Gwangju National University of Education, 55, Pilmun-daero, Buk-gu, GwangjuDepartment of Ethics Education, Gwangju National University of Education, 55, Pilmun-daero, Buk-gu, Gwangju
机构:
Ctr Hosp Univ Lisboa Norte EPE, Dermatol Dept, Lisbon, Portugal
Ave Prof Egas Moniz MB, P-1649028 Lisbon, PortugalCtr Hosp Univ Lisboa Norte EPE, Dermatol Dept, Lisbon, Portugal
Mancha, D.
Filipe, P.
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Ctr Hosp Univ Lisboa Norte EPE, Dermatol Dept, Lisbon, Portugal
Univ Lisbon, Dermatol Univ Clin, Fac Med, Lisbon, Portugal
Univ Lisbon, Dermatol Res Unit, PFilipe Lab, Inst Med Mol Joao Lobo Antunes, Lisbon, PortugalCtr Hosp Univ Lisboa Norte EPE, Dermatol Dept, Lisbon, Portugal
机构:
Texas A&M University,Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications and TechnologyTexas A&M University,Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications and Technology
Xinyue Ye
Tianchen Huang
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Texas A&M University,Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications and TechnologyTexas A&M University,Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications and Technology
Tianchen Huang
Yang Song
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Texas A&M University,Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications and TechnologyTexas A&M University,Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications and Technology
Yang Song
Xin Li
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Texas A&M University,Section of Visual Computing and Computational Media, School of PerformanceTexas A&M University,Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications and Technology
Xin Li
Galen Newman
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Texas A&M University,Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications and TechnologyTexas A&M University,Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications and Technology
Galen Newman
Zhongjie Lin
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University of Pennsylvania,Weitzman School of DesignTexas A&M University,Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications and Technology
Zhongjie Lin
Dayong Jason Wu
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Texas A&M Transportation Institute,Research & ImplementationTexas A&M University,Department of Landscape Architecture and Urban Planning & Center for Geospatial Sciences, Applications and Technology