论文标题

面对幻想的犯罪行为

The Criminality From Face Illusion

论文作者

Bowyer, Kevin W., King, Michael, Scheirer, Walter, Vangara, Kushal

论文摘要

对面部图像的自动分析可以产生有关一个人的性别,年龄,种族,面部表情,体重指数以及各种其他指数和条件的预测。最近的一些出版物声称成功地分析了一个人的脸部形象,以预测该人作为犯罪 /非犯罪分子的地位。最初可能与其他面部分析进行预测可能相似,但我们认为,试图创建一种犯罪性与面对面算法的尝试注定要失败,最近出版物中显然有希望的实验结果是由于实验性设计不足而产生的一种幻觉,并且对犯罪的信念具有很大的社交成本,而这是对犯罪性的潜在社交成本。

The automatic analysis of face images can generate predictions about a person's gender, age, race, facial expression, body mass index, and various other indices and conditions. A few recent publications have claimed success in analyzing an image of a person's face in order to predict the person's status as Criminal / Non-Criminal. Predicting criminality from face may initially seem similar to other facial analytics, but we argue that attempts to create a criminality-from-face algorithm are necessarily doomed to fail, that apparently promising experimental results in recent publications are an illusion resulting from inadequate experimental design, and that there is potentially a large social cost to belief in the criminality from face illusion.

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