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Commercialisation of an artificially intelligent deception detection system in the current security climate

机译:在当前安全形势下,人工智能欺骗检测系统的商业化

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This paper presents the development and commercialisation of a computerised, non-invasive psychological profiling system (named ‘Silent Talker’), for the analysis of nonverbal behaviour. Nonverbal signals hold rich information about mental, behavioural and/or physical states the detection of which would be beneficial in a wide variety of commercial domains, particularly deception detection and security. Previous attempts to extract individual signals and classify an overall behaviour have been overly complex, time-consuming, costly, biased and error prone. Silent Talker overcomes these problems by the use of Artificial Neural Networks. The testing and validation of the system was undertaken by detecting processes associated with ‘deception’ and ‘truth’ which the system achieved with significant results. Initial academic recognition led to widespread publicity but the commercialisation of the project proved to be far from straightforward. This paper describes the system itself, its potential uses and the commercialisation process to date, concluding with lessons that have been learnt along the way.
机译:本文介绍了用于分析非语言行为的计算机化非侵入式心理分析系统(称为“沉默说话者”)的开发和商业化。非语言信号包含有关心理,行为和/或身体状态的丰富信息,对其进行检测将在广泛的商业领域中受益,尤其是欺骗检测和安全性。先前提取单个信号和对整体行为进行分类的尝试过于复杂,耗时,昂贵,有偏见且容易出错。 Silent Talker通过使用人工神经网络克服了这些问题。该系统的测试和验证是通过检测与“欺骗”和“真相”相关的过程来进行的,这些过程使系统取得了显著成果。最初的学术认可导致了广泛的宣传,但事实证明该项目的商业化并非一帆风顺。本文介绍了系统本身,其潜在用途和迄今为止的商业化过程,并总结了在此过程中获得的经验教训。

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