The paper, titled “Deep neural networks are more accurate than humans at detecting sexual orientation from facial images” is now being re-examined, according to one of the journal’s editors, Shinobu Kitayama.“An ethical review is underway right at this moment,” Kitayama said when reached by email.In the same way the lives and activities of those who were sexually active, or attracted to, members of the same sex, as well as the attitudes of others towards them may fairly be said to constitute a history of interest to modern lesbians, gays and bisexuals.
Greggor Mattson, an associate professor of sociology at Oberlin College and Director of the Program in Gender, Sexuality, and Feminist Studies there wrote a takedown of the study titled, “Artificial Intelligence Discovers Gayface.
Sigh.” in which he placed the study in a long line of experiments designed to find physical traits to correlate with sexual orientation, including “19th century measurements of lesbians’ clitorises and homosexual men’s hips.” He also noted that Kosinski — whose name you may remember from a slew of news stories about how big data elected Trump — is an adviser to an Israeli security firm called Faception that aims to use “facial personality profiling” to catch pedophiles and terrorists.
that claimed to show how off-the-shelf artificial intelligence tools can detect who is gay simply by looking at a photo of a person’s face.
It faced immediate backlash from from artificial intelligence researchers and sociologists as well as the advocacy organization GLAAD, who criticized the authors’ methodology and their grandiose conclusions.
There are, and have been, societies in which same-sex sexual activity has been widespread but has had little or no emotional significance [as with some modern prison homosexuality].
But a preference for, or orientation to, homosexual activity is only part of modern LGB identities.
On the other hand, in modern European and American societies emotionally intense same-sex relationships -- sometimes called "friendship" in the past -- have very limited, if any, public role.
It is not uncommon for people to claim that they have "hundreds of friends", a nonsensical statement if "friend" were to have its significance in ancient and medieval European discourses.
Kosinski and Wang claimed that their findings provided “strong support” for the idea that sexual orientation is caused by hormone exposure in the womb, an unsubstantiated and unusual leap for scientists to make after an incremental study.
They also claimed to be doing the LGBTQ community a service by exposing how artificial intelligence could hypothetically be used to persecute gay people. Critics pointed out that the study included no people of color, which is common in machine learning studies but artificially increases the model’s ability to find patterns; the fact that the data relied in part on looking at what Facebook groups people liked in order to determine their sexual orientation; and the fact that the researchers seemed to think that the contours of a person’s face are fixed, rather than something easily and frequently manipulated by makeup. Cohen, a sociologist at the University of Maryland, wrote that the authors had simply misinterpreted their own results.