If you want to understand the intimate question like a person’s sexual orientation, you may no longer need to do any verification, because artificial intelligence already can be easily used to accurately identify it. I know that this news sounds may make you very uncomfortable, but it is still true. Not long ago, two researchers at Stanford University developed a neural network that can detect a person’s sexual orientation by studying a facial image.

The researchers trained a neural network of more than 35,000 facial images, evenly distributed between homosexuals and heterosexuals, and the algorithm’s tracking involved genetic or hormone-related features: prenatal hormone theory (PHT). This theory specifically states that in the uterus male sex hormones are responsible for sexual differentiation, and it is the main driving force for homosexual orientation in future life. The study also pointed out that these specific androgens will affect the key features of the face to some extent, which means that certain facial features may be related to sexual orientation.

The study found that lesbians or gays tend to have “atypical gender characteristics,” meaning that gay men tend to be feminine, while lesbians trend towards masculinity. In addition, the researchers found that gay men usually have a narrower chin, a longer nose, and a larger forehead than non-gay, while lesbians have larger chins and smaller foreheads.