边界决定?在欧盟边境进行自动欺骗检测缺乏正当理由

Daniel Minkin, Lou Therese Brandner
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引用次数: 0

摘要

2016 年至 2019 年期间,欧盟资助了一个名为 "iBorderCtrl "的系统的开发和测试,该系统旨在帮助检测非法移民。自动欺骗检测系统(ADDS)是 iBorderCtrl 的一部分:ADDS 利用人工智能,通过分析细微的面部表情来计算欺骗的概率,从而为边防人员的决策提供支持。本文将解释 ADDS 的工作原理及其理论基础。在此背景下,指出了使用该系统的理由可能存在的缺陷。最后,根据实证研究结果,讨论了不合理使用 ADDS 可能造成的社会影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Borderline decisions?: Lack of justification for automatic deception detection at EU borders
Between 2016 and 2019, the European Union funded the development and testing of a system called “iBorderCtrl”, which aims to help detect illegal migration. Part of iBorderCtrl is an automatic deception detection system (ADDS): Using artificial intelligence, ADDS is designed to calculate the probability of deception by analyzing subtle facial expressions to support the decision-making of border guards. This text explains the operating principle of ADDS and its theoretical foundations. Against this background, possible deficits in the justification of the use of this system are pointed out. Finally, based on empirical findings, potential societal ramifications of an unjustified use of ADDS are discussed.
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