There is less and less left for the presidential elections in Mexico and there are many citizens who have not yet defined their vote among the main candidates. According to analysts, the command will be Claudia Sheinbaum or Xóchitl Gálvez. In this framework, a study from Stanford University revealed that there is an artificial intelligence capable of identifying your political ideology based on a selfie.
What is the artificial intelligence that discovers people’s political ideology?
Although it is difficult to interpret and believe it, A facial recognition system incorporates artificial intelligence and has the ability to determine which political ideology you belong to. The revelation was made by a group of analysts from Stanford University who conducted a study and managed to verify the effectiveness of the tool.
The platform that analyzed the photographs is VGGFace2a facial recognition program based on artificial intelligence created in 2017, which through the comparison of facial characteristics of the participants with other images in a database can define how close you are to Claudia Sheinbaum or Xóchitl Gálvez.
The research carried out by Stanford scholars resulted in the success of this platform, testing it on citizens of the United States, who were classified in the Liberal or Conservative binomial. The study analyzed hundreds of images and voting patterns of 590 American citizens..
According to the findings, Liberal-leaning individuals had smaller lower facial features, with less pronounced chins and lips and noses that slanted downward.. While, on the opposite path, Conservative voters have broader and more pronounced features in the lower part of their faces.
What was the full job of Stanford University?
To check the effectiveness of the artificial intelligence platform, lThe participants completed a questionnaire about their political ideology and submitted photographs where they came out wearing a black t-shirt, no jewelry, with their facial hair shaved, their makeup removed when necessary and their hair tied back, allowing the software’s focus to be focused exclusively on their faces. The results also considered additional variables such as the age, gender and ethnicity of the participants.
