The Big Data Jury

IF 1 3区 社会学 Q2 LAW
A. Ferguson
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引用次数: 1

Abstract

This article addresses the disruptive impact of big data technologies on jury selection. Jury selection requires personal information about potential jurors. Current selection practices, however, collect very little information about citizens, and litigants picking jury panels know even less. This data gap results in a jury selection system that: (1) fails to create a representative cross-section of the community; (2) encourages the discriminatory use of peremptory challenges; (3) results in an unacceptably high juror “no show” rate; and (4) disproportionately advantages those litigants who can afford to hire expensive jury consultants. Big data has the potential to remedy these existing limitations and inequities. Big data technologies offer a highly personalized, current, and targeted mechanism for locating citizens in a particular jurisdiction. Big data companies have been collecting public and quasi-public information about most American’s consumer, financial, health, political, and personal interests for years. For courts, the availability of real-time, personally targeted data provides the potential for algorithmically-precise representative jury venires and more efficient jury summonsing practices. This collected personal data also can be quite revealing about attitudes, inclinations, and interests. For litigants, the available information could provide a wealth of insights once only available from expensive jury consultants. Big data has the potential to democratize information about jurors leading to less discriminatory jury selection practices. Big data information, thus, has the potential to revolutionize how jury pools are selected and jury panels are picked. Yet, adoption of big data technology carries real risks. Traditional jury roles and values, including the continued legitimacy of the jury system, itself, are at stake. Increased big data collection of personal information involves an invasion of privacy that could result in significant backlash against jury service. Affirmative targeting of jurors also presents thorny constitutional issues, as considerations of race, gender, or ethnicity could run into equal protection problems. Equalizing the availability of big data information about jurors, and making it a part of the jury selection system, raises practical, theoretical, and constitutional dilemmas all of which are addressed in this article.
大数据评审团
本文探讨了大数据技术对陪审团选择的破坏性影响。选择陪审员需要潜在陪审员的个人信息。然而,目前的选择做法收集的公民信息很少,而诉讼当事人选择陪审团的信息就更少了。这种数据差距导致陪审团选择系统:(1)未能建立一个具有代表性的社会横截面;(2)鼓励歧视性地使用强制抗辩;(3)导致陪审员缺席率高得令人无法接受;(4)对那些有能力聘请昂贵的陪审团顾问的诉讼当事人格外有利。大数据有可能弥补这些现有的限制和不平等。大数据技术提供了一种高度个性化的、最新的、有针对性的机制,用于定位特定司法管辖区的公民。多年来,大数据公司一直在收集有关大多数美国消费者、金融、健康、政治和个人利益的公开和准公开信息。对于法院来说,实时的、针对个人的数据的可用性为算法精确的代表性陪审团提供了潜力,并提高了陪审团传唤的效率。这些收集的个人数据也可以很好地揭示态度、倾向和兴趣。对于诉讼当事人来说,现有的信息可以提供丰富的见解,以前只能从昂贵的陪审团顾问那里获得。大数据有可能使陪审员信息民主化,从而减少歧视性的陪审团选择做法。因此,大数据信息有可能彻底改变陪审团的选择方式和陪审团的选择方式。然而,采用大数据技术确实存在风险。传统的陪审团角色和价值观,包括陪审团制度本身的持续合法性,都处于危险之中。个人信息大数据收集的增加涉及侵犯隐私,可能导致对陪审团服务的强烈反对。陪审员的肯定目标也带来了棘手的宪法问题,因为种族、性别或民族的考虑可能会遇到平等保护问题。平衡陪审员的大数据信息的可用性,并使其成为陪审团选择系统的一部分,提出了实践、理论和宪法上的难题,所有这些都将在本文中解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.20
自引率
11.10%
发文量
0
期刊介绍: In 1925, a group of eager and idealistic students founded the Notre Dame Lawyer. Its name was changed in 1982 to the Notre Dame Law Review, but all generations have remained committed to the original founders’ vision of a law review “synonymous with respect for law, and jealous of any unjust attacks upon it.” Today, the Law Review maintains its tradition of excellence, and its membership includes some of the most able and distinguished judges, professors, and practitioners in the country. Entirely student edited, the Law Review offers its members an invaluable occasion for training in precise analysis of legal problems and in clear and cogent presentation of legal issues.
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