Through the picture, you will discover whether you are gay or not.

Research conducted by Stanford University revealed a computer algorithm where it could distinguish correctly between gay and non-homossexual males in 81, % of the cases and 74% for women.

This has raised questions about the biological origin of sexual orientation, ethics, and the potential for this kind of software to violate people's privacy or abuse for anti-effective purposes. - LGBT reported “The Guardian”, Transmission Periscope.

The intelligence of the machine tested in a research and then published in “Journal of Personal and Social Psychology” was based on a sample of more than 35,000 facial images that men and women publicly published on a US website.

Researchers, Michal Kosinski and Yilun Wang, extract features from images using “deep nerve vision”, which means a sophisticated mathematical system that learns to analyze images based on a large set of data.

The research found that men and men of homosexuals tend to have traits, and more visible expressions like <x0-tips of care”, which means essentially that the meaning of gay men had more female traits and vice versa.

The data also identified certain trends, including gay males who had narrower jaws, larger noses, and greater forehead than non-homossexual men, and that homosexual women had the biggest jaws and smaller hairs in comparison with non-homossexual women.

While people have been given the opportunity to judge and identify sexual orientation, they have performed far worse than computer algorithms, correctly identifying only 61% for men and 54% for women.

While the findings have clear limits when it comes to gender and sexuality, color people were not involved in the study and there was no consideration for people transgenerative or bisexual implications for artificial intelligence (AI) are large and alarming.

With billions of images of people stored on social media pages and on government databases, researchers suggested that public data could be used to detect the sexual orientation of people without their consent.

But the authors argued that technology already exists and its capabilities are important to exhibit, so governments and companies can actively consider privacy risks and the need for protection measures.

“Like any new tool, if it goes into the wrong hands, could be used for bad ends”, said Nick Rule, an associate psychology professor at Toronto University.

Kosinski was not available for an interview, according to a Stanford spokesman. The professor is known for his work with Cambridge University in psychometric profile, including using Facebook data to draw conclusions about personality.

In Stanford's study, authors also noted that artificial intelligence can be used to explore links between facial features and a host of other phenomena, such as political views, psychological conditions or personality./Periscopi/