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STANFORD, California, January 21, 2021 (LifeSiteNews) — A group of researchers from California’s Stanford University have published a paper in which they claim it is possible to teach a computer to recognize a person’s political leanings, purely from scanning their face. In the same paper, they warned of the possible application of the technology to real life.
The research team was led by Michal Kosinski, who famously created a program in 2017 that purported to endow machines with the ability to accurately determine heterosexuality and homosexuality, again from facial cues.
Building upon the alleged success of his prior machine learning program, Kosinski “used an open-source facial-recognition algorithm,” this time to determine a person’s political affiliation through “naturalistic facial images.” To teach his computer how to make distinctions between conservatives and liberals, Kosinski ran over 1 million images of individuals, along with details of their political leanings, into the system. Kosinski’s team were able to gather this information freely from dating websites and through Facebook.
The paper, published in Nature Research’s Scientific Reports, claims that the machine correctly predicted political orientation
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