Artificial intelligence has taken over completely because AI robots can correctly guess whether individuals are gay or not based on so many factors and these factors are in their face, from good research it is known that machines or robots have significantly better “gaydar” than humans.
GAYDAR – Ability to detect a gay or straight man.
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The study from Stanford University that found out that computer algorithm could correctly distinguish between gay and straight men based on photos of their faces.
The machine intelligence was tested and published in different journals and the first reported in the economist, this was based on a sample of more than 35,000 facial images that men and women posted in a dating website.
‘Michal Kosinki and Yilun Wang the researches practically extracted features from the images using DEEP NEURAL NETWORKS‘. meaning; a sophisticated mathematical system that learns to analyze visuals based on a large dataset.
The research found that gay men and women tend to have GENDER ATYPICAL features and GROOMING STYLES, essentially meaning gay men appeared more feminine. The data also identified certain trends, including that gay men had so many features in their faces such as; narrower jaws, longer noses and larger foreheads than straight men, and that gay women had larger jaws and smaller foreheads compared to that of straight women.
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Human judges performed much worse than the algorithm, accurately identifying orientation only 61% of the time for men and 54% for women.
When the software reviewed five images per person, it was even more successful – 91% of the time with men and 83% with women. Broadly, that means “faces contain much more information about sexual orientation than can be perceived and interpreted by the human brain”, the authors wrote.
While the findings have clear limits when it comes to gender and sexuality people of color were not included in the study, and there was no consideration of transgender or bisexual people the implications for artificial intelligence are vast and alarming. With billions of facial images of people stored on social media sites and in government databases, the researchers suggested that public data could be used to detect people’s sexual orientation without their consent or without them even knowing.
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“It’s certainly unsettling. Like any new tool, if it gets into the wrong hands, it can be used for ill purposes,” said Nick Rule, an associate professor of psychology at the University of Toronto, who has published research on the science of GAYDAR. “If you can start profiling people based on their appearance, then identifying them and doing horrible things to them, that’s really bad.”
Rule argued it was still important to develop and test this technology: “What the authors have done here is to make a very bold statement about how powerful this can be. Now we know that we need protections.”
In the Stanford study, the authors also noted that artificial intelligence could be used to explore links between facial features and a range of other phenomena, such as political views, psychological conditions or personality.
In conclusion, with Artificial intelligence, we can detect whether an individual is gay or straight for both male and female.