학술논문
The “Criminality From Face” Illusion
Document Type
Periodical
Author
Source
IEEE Transactions on Technology and Society IEEE Trans. Technol. Soc. Technology and Society, IEEE Transactions on. 1(4):175-183 Dec, 2020
Subject
Language
ISSN
2637-6415
Abstract
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/Noncriminal. 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.