Since the 9/11 terrorist attacks, research has enveloped numerous areas within the psychological sciences as a means to increase the ability to spot potential threats. While airports took to heightened security protocols, many academics looked deeper into ways of detecting deception within international airport settings. Various verbal and nonverbal systems were intensely scrutinised under the empirical magnifying glass with the aim of creating security environments that are better able to detect potential threats. However, in 2018, a €4.5 m grant from the European Union’s Horizon 2020 research and innovation programme, number 700,626, was awarded to further in vivo test the use of computational methods to detect deception from facial cues. The system is deemed a noninvasive psychological profiling system and stems from that of a system called ‘Silent Talker’ (Rothwell et al. in Appl Cognit Psychol 20(6):757–777, 2006). The ‘iBorderCtrl’ AI system uses a variety of ‘at home’ pre-registration systems and real time ‘at the airport’ automatic deception detection systems. Some of the critical methods used in automated deception detection are that of micro-expressions. In this opinion article, we argue that considering the state of the psychological sciences current understanding of micro-expressions and their associations with deception, such in vivo testing is naive and misinformed. We consider the lack of empirical research that supports the use of micro-expressions in the detection of deception and question the current understanding of the validity of specific cues to deception. With such unclear definitive and reliable cues to deception, we question the validity of using artificial intelligence that includes cues to deception, which have no current empirical support.

中文翻译：

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机场人工智能可以检测欺骗：还是我在撒谎？

自 9/11 恐怖袭击以来，研究已经涵盖了心理科学的众多领域，以作为提高发现潜在威胁能力的一种手段。虽然机场采取了更高的安全协议，但许多学者更深入地研究了在国际机场环境中检测欺骗行为的方法。在经验放大镜下对各种语言和非语言系统进行了严格审查，目的是创造能够更好地检测潜在威胁的安全环境。然而，在 2018 年，欧盟 Horizo​​n 2020 研究和创新计划（编号 700,626）提供了 450 万欧元的赠款，用于进一步体内测试使用计算方法检测面部线索欺骗。该系统被认为是一种非侵入性的心理分析系统，源于一种称为“Silent Talker”的系统（Rothwell et al. In Appl Cognit Psychol 20 (6): 757-777, 2006）。“iBorderCtrl”人工智能系统使用各种“在家”预登记系统和实时“在机场”自动欺骗检测系统。自动欺骗检测中使用的一些关键方法是微表情。在这篇意见文章中，我们认为，考虑到心理科学当前对微表情及其与欺骗的关联的理解的状态，这种体内测试是幼稚和误导的。我们认为缺乏实​​证研究支持在检测欺骗中使用微表情，并质疑当前对特定欺骗线索有效性的理解。