AI can inform from an image if you are gay or directly

Stanford University studies male and female sex on site that dates up to 91% accuracy

Image from Stanford Research. Photo: Stanford University.

Artificial intelligence can precisely imagine whether individuals are homosexual or centered on images of these faces, based on a new study indicating that devices may have better “gaydar” than humans.

Stanford University’s analysis “which found that a computer algorithm could correctly differentiate between gay men and straight men% of the time, and 74% for women” “raised questions about the biological beginnings of leadership. intimate, ethical facial- sensing technology in addition to the possibility of this type of pc pc software to break people’s privacy or possibly be abused for anti-LGBT reasons.

The intelligence of the equipment tested when you look at the analysis, which was published in the Journal of identity and Social mindset and first reported in The Economist, ended up being, according to one example, over 35,000. face photos that people have openly posted on A USA dating site.

Scientists, Michal Kosinski and Yilun Wang, removed features across images using “deep neural networks,” indicating an advanced mathematical system that learns to analyze visuals centered on a huge data set.

Types of brushing

The study found that gay women and men tended to have “atypical” functions, expressions and “grooming styles”, essentially indicating that gay men were much more feminine and vice versa. The data also identified specific styles, including the fact that gay men had narrower jaws, longer noses, and larger foreheads than straight men, and therefore gay women had larger jaws and a longer forehead. small compared to heterosexual women.

The human judges performed much worse than the algorithm, only accurately distinguishing the direction of only 61% of that time period for men and 54 Casual Sex Dating Sites percent for women. Once the software rated five photos per person, it was much more successful percent of the times with men and 83% with women.

For the rest: composite heterosexual faces, composite homosexual faces and “average facial landmarks” – for gay men (purple range) and straight (green lines). Photo: Stanford University

Basically, which means that “faces contain more information about sexual direction than what can be observed and translated because of the brain” which is human that the writers had written.

The report proposed that the findings provide “strong help” with respect to the principle that intimate positioning arises from contact with specific bodily hormones prior to childbirth, indicating that both men and women tend to be created homosexuals. and that being gay is just not an option.

The machine’s reduced success rate for women might also suggest that female intimate direction is more important.


While the findings actually had obvious limitations when it came to gender and sexuality – people of color were not included in the research, and there was clearly no consideration for transgender or bisexual people, people of color were not included in the research, and there was clearly no consideration for transgender or bisexual people. Ramifications of synthetic intelligence (AI) tend to be vast and alarming. With large amounts of photos of faces of men and women kept on social media sites and in federal government databases, scientists have indicated that community information could potentially be used to detect people’s intimate locations. without their specific authorization.

It’s easy to imagine partners using the technology on lovers who they think tend to be closed in, or teenagers using the algorithm on their own or by their coworkers. Much more frighteningly, the governing bodies that regularly continue to prosecute LGBT people are hypothetically using technology to take down and target communities. It means creating this kind of software and publicizing its self-questioning issues in order to encourage harmful applications.

Nonetheless, the authors argued that the technology is currently available, and its capabilities are essential to ensure that governing bodies and businesses can proactively consider privacy risks as well as the importance of safeguards and laws.

It is certainly troubling. Like most brand new devices, if it gets into the wrong arms, it can be used for sickness reasons, ”said Nick Rule, associate professor of psychology at the University of Toronto, who published an analysis in research on the gaydar. “If you could start profiling people based on how they look and then identify them all and do something terrible to them, that would actually be bad. “

Rule argued that it was nonetheless essential to produce and test this technology: “What the authors have written here is in order to make a pretty strong statement about the effectiveness of this method. Today we realize that people need defenses.”

Kosinski was not designed for a job interview, according to a Stanford representative. The teacher is renowned at the University of Cambridge for his work on psychometric profiling, including using information from Twitter to help draw conclusions about the character.

Donald Trump’s campaign and Brexit supporters have implemented similar tools to target voters, raising concerns about the widening use of personal information in elections.

In Stanford’s research, the authors also noted that synthetic intelligence could be used to explore connections between facial functions and a selection of various other phenomena, such as government opinions, emotional circumstances, or character. issues regarding the possibility of circumstances such as the science fiction film Minority Report, in which men and women are arrested based entirely on the prediction that they will commit criminal activity.

“The AI ​​is able to let you know that something about you is not adequate information,” said Brian Brackeen, CEO of Kairos, a facial recognition company.

The real question is like a community, do you want to understand? ВЂќ

Mr Brackeen, who just said Stanford’s intimate positioning information was “surprisingly correct,” said there needed to be more attention to confidentiality and resources to avoid abuse of the understanding of the device, because it becomes more complete and advanced level.

Rule speculated on AI’s habit of definitively discriminating against individuals based on a machine’s interpretation of faces: “We should be collectively worried. “(Guardian Provider)

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