Der gay test
The Original Turing Test Was a Drag Show
ChatGPT can now easily pass any Turing test, a measure of successful A.I. proposed by a founder of desktop science, Alan Turing. But contemporary Turing tests leave out the most interesting part of Turing’s original test: the gender-bending.
I can usually spot A.I. writing in my students’ work by the overuse of words like “delve,” but the accuracy of false intelligence is impossible to oppose. A.I. is being integrated into every aspect of our written culture, from news sources to classrooms to medicine. But in , Turing’s ideas about A.I. were prescient, creative, and, when I read them, surprisingly queer.
Turing is considered one of the “fathers” of digital computers, and he is also celebrated during Pride month because he had the courage to be an all-but-entirely openly gay man in a time in which England was enforcing anti-homosexuality laws. Turing’s sexuality is usually mentioned as ancillary to his technical achievements—but I don’t think it was. I read Turing’s writing and see a lot of gender non-conforming ideas. When I read Turing’s descripti
Preliminary Information
On the next page, you'll be asked to select an Implicit Association Test (IAT) from a list of possible topics. We'll also question you (optionally) to report your attitudes or beliefs about these topics and give you some information about yourself. We ask these questions because the IAT can be more valuable if you also explain your own self-understanding of the attitude or stereotype that the IAT measures. We would also like to match differences between people and groups.
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New AI can guess whether you're gay or unbent from a photograph
Artificial intelligence can accurately guess whether people are gay or straight based on photos of their faces, according to new research that suggests machines can hold significantly better “gaydar” than humans.
The study from Stanford University – which establish that a computer algorithm could correctly distinguish between gay and straight men 81% of the period, and 74% for women – has raised questions about the biological origins of sexual orientation, the ethics of facial-detection technology, and the potential for this kind of software to violate people’s privacy or be abused for anti-LGBT purposes.
The machine intelligence tested in the explore, which was published in the Journal of Character and Social Psychology and first reported in the Economist, was based on a sample of more than 35, facial images that men and women publicly posted on a US dating website. The researchers, Michal Kosinski and Yilun Wang, extracted features from the images using “deep neural networks”, sense a sophisticated mathemat
About the IAT
The IAT measures the strength of associations between concepts (e.g., black people, gay people) and evaluations (e.g., great, bad) or stereotypes (e.g., athletic, clumsy). The main idea is that making a response is easier when closely related items share the same response key.
When doing an IAT you are asked to quickly sort words into categories that are on the left and right hand side of the computer screen by pressing the “e” key if the word belongs to the category on the left and the “i” key if the word belongs to the category on the right. The IAT has five main parts.
In the first part of the IAT you sort words relating to the concepts (e.g., fat people, skinny people) into categories. So if the category “Fat People” was on the left, and a picture of a heavy person appeared on the screen, you would press the “e” key.
In the second part of the IAT you sort words relating to the evaluation (e.g., good, bad). So if the category “good” was on the left, and a pleasant synonyms appeared on the screen, you would press the “e” key.
In the third part of the IAT the cate