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  1. The Ultimate Theory of Everything!
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  3. Gaydar: visual detection of sexual orientation among gay and straight men. - PubMed - NCBI;
  4. New AI can work out whether you're gay or straight from a photograph | Technology | The Guardian.

Evolving Design We continuously refresh our design to give our members the best user experience. Premium Want more features? Whatever measure of accuracy our species can achieve is attributable to luck and intuition, neither of which can be quantified.

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So who gives a damn if a computer is better at making random guesses than a person is? The first major problem with the paper is its title: Yet, the entire paper goes on to point out that the researchers designed an algorithm that imitates human bias. At no point is this AI predicting gayness: It does not predict gayness.

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Human judges achieved much lower accuracy: Not only is there absolutely no scientific basis for guessing whether a face is gay or not, but using images to do so presents a myriad of problems, not the least of which is the fact that the images were sourced from people who readily identified as either gay or heterosexual. This indicates the researchers believe human sexuality is binary. This is problematic for obvious reasons, as Princeton psychology professor Alexander Todorov told The Washington Post: Just when we thought that physiognomy ended years ago.


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  • Creating an algorithm that has more psychic ability than humans is nothing more than automating ignorance. According to the PHT, same-gender sexual orientation stems from the underexposure of male fetuses or overexposure of female fetuses to androgens that are responsible for sexual differentiation.

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    Kosinksi, according to The New York Times , actually thought about creating an algorithm to determine whether a person was an atheist or not first, but decided instead to go with the gay detector. This is simply not true. And even then things get problematic. What makes a person gay or straight?

    Opinion: The Stanford gaydar AI is hogwash

    Society at large seems to struggle with the concepts of bisexuality, transsexualism, and fluid-sexuality. This is the lamest algorithm you can use, trained on a small sample with small resolution with off-the-shelf tools that are actually not made for what we are asking them to do. It seems reckless for science to be conducted in an ambiguous manner, based on supposedly altruistic motivations, with what appears to be deceptive terminology.

    This is nothing more than an AI that points out what human bias looks like extrapolated.