New AI can determine person's sexual orientation through photos

New computer program can determine your sexuality with 91% accuracy

New computer program can determine your sexuality with 91% accuracy

Going a mile further, the researchers at Stanford University have used artificial intelligence to predict the sexuality of a person with a surprising accuracy. Researchers, Michal Kosinski and Yilun Wang extracted features from the images using deep neural networks in order to analyze visuals from a large dataset.

Human judges accurately identified orientation only 61% of the time for men and 54% for women. However, accuracy jumped to 91 percent and 83 percent, respectively, if given five photographs of a person.

The researchers' used 130,741 images of 36,630 men and 170,360 images of 38,593 women downloaded from a popular American dating website.

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Critics of the study will point out that there was no consideration of bisexual, asexual or transgender people, while people of certain ethnic backgrounds were also excluded. PHT is generally considered just one of many possible factors that could determine a person's ultimate sexual orientation, and hinging an entire facial recognition system on it is questionable to say the least. On a more physical analysis, it determined that gay men tended to have narrower jaws, longer noses and larger foreheads when compared to straight men. However, on the contrary, gay women had larger jaws and smaller foreheads. However, this kind of appliance leads to wonder about the ethics of facial-detection technology and how this technology could be used to violate the privacy or the rights that people have.

Scientists have created artificial intelligence that can guess whether someone is gay based on a picture of their face-which has some anxious about the AI's future use and implications. Additionally, the lower success rate for women could suggest female sexual orientation is more fluid. This rose to 91 percent accuracy when presented with five images of the same person.

They also concede their work could be unsafe: "Our findings expose a threat to the privacy and safety of gay men and women", they write, especially in places where homosexuality is a crime.

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Nielsen-Gammon said that the most incredible record is for the five-day total over an area of 10,000 square miles. Many of those facilities have either restarted or have begun that process, which takes several days to complete.

Specifically, the groups take issue with the fact that the study did not look at any non-white individuals, and did not independently verify crucial information such as age and sexual orientation, instead taking information appearing online at face value. The authors write that they hope future research will go further in exploring the link between facial features and personality, including political views or psychological conditions. "The differences in femininity observed in this study were subtle, spread across many facial features, and apparent only when examining averaged images of many faces".

Michal Kosinski, co-author of the study and an assistant professor at Stanford, told the Guardian that he was perplexed by the criticisms, arguing that the machine-learning technology already exists and that a driving force behind the study was to expose potentially risky applications of AI and push for privacy safeguards and regulations.

The research has unsurprisingly prompted much controversy, with some saying it seems to enforce a binary concept of sexuality. For example, people can use this technology to know if their partners hide their real sexual orientation or teenagers could suffer from bullying if their peers use the technology with them. Both Donald Trump's campaign and Brexit supporters used this to target voters.

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Many studies have shown the bright side of AI, but this could be a big threat to an individual's privacy, especially at a time when social media and other databases store a plethora of images.

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