Born to Be Gay? Scientists Develop AI ‘Gaydar’ to Predict Sexual Orientation

[9/9/17/ SPUTNIK]  Stanford University scientists have developed a computer algorithm capable of using a photo to predict a person’s sexual orientation with up to 91-percent accuracy.

The study, which was conducted by researchers Michal Kosinski and Yilun Wang, analyzed more than 35,000 facial images posted on a US dating website.

During the research, Artificial Intelligence (AI) “could correctly infer between gay and straight men 81 percent of the time, and 74 percent of the time for women.

If the AI studied five photographs of a person at once, the percentage of the correct answer increased to 91 in the case of men and to 83 for women.

Human judges managed to correctly identify sexual orientation only 61 percent of the time in men, and 54 percent of the time in women.

Kosinski and Wang said in the study that gay men and women typically had “gender-atypical” features, expressions and “grooming styles”, something that actually means that the gay men look more feminine that straight men, having narrower jaws, longer noses, and larger foreheads.

In addition, the two scientists said that their study confirms a theory that sexual orientation is something that is influenced by specific hormones before a person’s birth.

If just a handful of our 600,000 monthly readers donated one dollar, I could easily crush my modest yearly fundraising goal of $10,000 by January 31 2018. If you value the information on this site and have the means, please consider making a donation below. Your support will help us expand, keep ads off the site and buy out any remaining advertising contracts we have with vendors. No contribution is too small and will undoubtedly go towards the many expenses this site incurs. If would like to learn more about our mission, please visit our manifesto here. Thank you so much for your support, Thomas Dishaw Editor @ Gov't Slaves

$640.00 of $10,000.00 raised
Personal Info

Donation Total: $5.00