Technologies in the twilight zone: early lie detectors, machine learning and reformist legal realism
Technologies in the twilight zone: early lie detectors, machine learning and reformist legal realism
复制标题
暮光地带的技术：早期测谎仪、机器学习和改良主义法律现实主义
DOI：
--
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
M. Oswald
中科院分区：
文献类型：
--
作者：
M. Oswald
摘要关于部署机器学习的当代讨论和分歧，特别是在刑事司法背景下，没有可预见的目的。然而，开发者、从业者和监管机构可以有益地回顾一百年前测谎仪首次引入美国时的类似论点。虽然测谎设备和机器学习的运作方式截然不同，但在本质上，它们都试图根据他人的行为来预测一个人的某些方面。本文从历史的角度考察了测谎在司法系统内的发展--无论是在法庭上还是在刑事调查期间--并将其与今天的讨论相提并论。可以说，测谎仪的推广支持了一种改革的法律现实主义方法，这种方法在今天关于部署机器学习的辩论中仍在继续，在机器学习的目的发挥作用的情况下，这引发了关于如何最好地维护法治关键原则的问题。最后，本文将从早期测谎仪的经验中提出一些监管解决方案。
ABSTRACT Contemporary discussions and disagreements about the deployment of machine learning, especially in criminal justice contexts, have no foreseeable end. Developers, practitioners and regulators could however usefully look back one hundred years to the similar arguments made when polygraph machines were first introduced in the United States. While polygraph devices and machine learning operate in distinctly different ways, at their heart, they both attempt to predict something about a person based on how others have behaved. This paper, through an historical perspective, examines the development of the polygraph within the justice system – both in courts and during criminal investigations – and draws parallels to today’s discussion. It can be argued that the promotion of lie detectors supported a reforming legal realist approach, something that continues today in the debates over the deployment of machine learning where ‘public good’ aims are in play, and raises questions around how key principles of the rule of law can best be upheld. Finally, this paper will propose a number of regulatory solutions informed by the early lie detector experience.
情感人工智能：同理心媒体的兴起
DOI：
--
发表时间：
2018
期刊：
--
影响因子：
--
作者：
McStay
通讯作者：
McStay
影响因子：
3.8
作者：
Aletras, Nikolaos;Tsarapatsanis, Dimitrios;Lampos, Vasileios
通讯作者：
Lampos, Vasileios