New GayDar Technology Can Scan Your Photo and Read if You are Gay


Do you think it is true, that a computer algorithm can tell if a person is gay or straight simply by scanning a picture of their face?

The University of Stanford developed an artificial intelligence software that can predict a person’s sexuality with far more accuracy than humans, suggesting a “gaydar” app may not be far away.

Granted this does seem innovative and interesting, but the issue is that it’s not completely accurate (duh!) and it can be used in a very harmful manner.

In over a dozen countries homosexuality is illegal.  Hate crimes against gay, lesbian, bisexual and transgender people are still a real issue, so the technology could put gay people at risk.

Studies have found that this technology can read if a man is gay or straight using one picture with 81% accuracy.  For women, it found that it could read their sexuality 74% of the time.  Human “gaydar” were much less accurate in comparison, correctly guessing men’s sexuality at 61% and women 54% of the time.

“Given that companies and governments are increasingly using computer vision algorithms to detect people’s intimate traits, our findings expose a threat to the privacy and safety of gay men and women,” Michal Kosinski and Yilun Wang, the researchers behind the project, said.

What do you think of this new technology?  Should it be allowed?  Do you really think a computer can read your face and know you are gay?

Log into MOOVZ!

Gay Face AI GayDar