A new peer-reviewed study says that facial recognition technology can accurately "read" a person's political affiliation just by looking at their face.
Those same participants were then scanned by researchers’ AI algorithm, which attempted to assess where they fell on the political spectrum.
The “algorithm’s predictive accuracy was even higher” when it had access to “participants’ age, gender, and ethnicity,” researchers write.
Researchers justify this assessment by pointing to the ways in which social expectations relative to physical appearances can influence personality development:
Once researchers had established this alleged correlation between specific facial morphologies and political orientations, they could create a database of faces that fall into those distinct categories and test their facial recognition algorithm to see if it could accurately predict which faces were correlated with specific political orientations.
“We demonstrate that political orientation can be predicted from neutral facial images by both humans and algorithms, even when factors like age, gender, and ethnicity are accounted for.
This indicates a connection between political leanings and inherent facial characteristics, which are largely beyond an individual’s control,” the study claims.
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Those same participants were then scanned by researchers’ AI algorithm, which attempted to assess where they fell on the political spectrum.
The “algorithm’s predictive accuracy was even higher” when it had access to “participants’ age, gender, and ethnicity,” researchers write.
Researchers justify this assessment by pointing to the ways in which social expectations relative to physical appearances can influence personality development:
Once researchers had established this alleged correlation between specific facial morphologies and political orientations, they could create a database of faces that fall into those distinct categories and test their facial recognition algorithm to see if it could accurately predict which faces were correlated with specific political orientations.
“We demonstrate that political orientation can be predicted from neutral facial images by both humans and algorithms, even when factors like age, gender, and ethnicity are accounted for.
This indicates a connection between political leanings and inherent facial characteristics, which are largely beyond an individual’s control,” the study claims.
The original article contains 502 words, the summary contains 158 words. Saved 69%. I’m a bot and I’m open source!