AI Facial Profiling, Levels Of Paranoia – Exploring the effects of algorithmic classification

Created by Marta Revuelta, AI Facial Profiling, Levels of Paranoia is a project exploring the potential and implication of AI technologies by proposing a machine that recognises the ability of an individual to handle firearms and predicts their potential to cause harm from a biometric analysis of their face.

The project is inspired by the work of two scientists from Jiao Tong University of Shanghai, Xiaolin Wu and Xi Zhang from 2016 who published a scientific research on modern physiognomy and claimed to have been able to train an artificial intelligence to detect the criminal potential of a person with great precision based solely on a photo of his face. The following year, researchers Yilun Wang and Michal Kosinski of Stanford University published another scientific paper in which they said they had trained another AI to detect people's sexual orientation based solely on a photo of their face. These two publications outraged the scientific community by resuscitating controversial physiognomic statement that human character traits could be linked to the physical aspect through machine learning algorithms.

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