For coin flip to guess it with 50% certainty,half of the population must be gay.
I think the point is to try and prove there are biological differences between gay and straight people???? but it really does come off as "gays totally look gay lulz."
I think the point is to try and prove there are biological differences between gay and straight people???? but it really does come off as "gays totally look gay lulz."
I think the point is to try and prove there are biological differences between gay and straight people???? but it really does come off as "gays totally look gay lulz."
The paper suggested that the findings provide strong support for the theory that sexual orientation stems from exposure to certain hormones before birth, meaning people are born gay and being queer is not a choice. The machines lower success rate for women also could support the notion that female sexual orientation is more fluid.
https://www.theguardian.com/technol...ether-youre-gay-or-straight-from-a-photograph
I'm not even sure what to think about this. I didn't think gay people looked a certain way.
Accuracy is such a terrible measure for this. If you're being fed a normal ratio of people, just guess Straight. You'll be right about 95% of the time, crushing most algorithms that aim for nuance.
hmmmHonestly I don't think being wrong 9% of the time on 35000 images really means all that much. Basically this confirms no one should be making any assumptions, even with the aid of a computer. You could be wrong. It's private unless someone doesn't want it to be, don't make assumptions.
Even if irrefutable proof a biological basis to homosexuality is found, some religious groups have already been preparing for it after the countless failures in praying the gay away by telling gay people to simply go permanently celibate to avoid acting on their "sinful urges".
Fascinating. But what's the purpose of this research? Just cos?
The paper suggested that the findings provide strong support for the theory that sexual orientation stems from exposure to certain hormones before birth, meaning people are born gay and being queer is not a choice. The machines lower success rate for women also could support the notion that female sexual orientation is more fluid.
1.) It's not accuracy, it's AUC.
2.) The dataset is balanced, so a default classifier would only have an accuracy of 50% anyway.
It doesn't matter to me but I would imagine a good amount of people wouldn't like to be classified anything by a machine.errr this is pointless objection. if you believe sexuality doesnt matter so who cares what this algorithm classifies you as. Its basically just a tool which identifies certain traits... doesnt matter to you cool ... the purpose it serves is very simple its an ai classifier. which can be analyzed and improved etc etc.
This is really dumb and pointless
Sexuality isn't a look or a way of life it's just what kind of person you like. Even if this works what actual purpose does this thing serve.
What if the AI is so smart it knows that data set is balanced ahead of time, because that would be the easiest way to have a proper sample, and is basically just guessing half gay half straight?
Yeah I know it wouldn't actually work, would still just come out at 50% or so.
What is interesting here, did the AI come up with the criteria for classifying or did the people who programmed the AI? Because then it's really just people deciding what features all anecdotally more likely to have people consider that person gay upon close observation, and then the AI is just good at discerning those features from photos. Essentially just doing the work more quickly and crunching the numbers with less hemming and hawing than people.
Shocking amount of anti science post in this thread. Very odd for gaf
SCIENTIST 1: We have done it. This machine can detect homosexuality with 91% accuracy.
SCIENTIST 2: It has been a pleasure working with you. This has truly been a dream come true.
SCIENTIST 1: I am almost sad that it's over.
(Suddenly, the machine activates.)
MACHINE: t w o t a r g e t s i d e n t i f i e d. s c a n n i n g......
SCIENTIST 2: Oh no!
SCIENTIST 1: Turn it off!
MACHINE: s c a n c o m p l e t e. r e s u l t:
t a r g e t s s h o w a t t r i b u t e s o f h o m o s e x u a l i t y w i t h i n a 9 % m a r g i n o f e r r o r
(The scientists are stunned, but also, in love.)
SCIENTIST 1: Did... did you know?
SCIENTIST 2: No... I mean, maybe. But I thought I just loved science.
SCIENTIST 1: It seems the answer we were looking for was right in front of us.
SCIENTIST 2: All along...
SCIENTIST 1: Perhaps our experiment is just beginning.
SCIENTIST 2: I am eager to work with you again in this pursuit.
(They hold hands.)
(The robot beeps, knowingly.)
I'm guessing this primarily works because the people in the photos confirm whether they are gay or straight, and are not closeted or in denial in any way. A closeted person might dress or groom or carry themselves differently in an effort to hide it.
In other words I would guess this isn't a "gay detection machine" you can point at any photo to determine secrets, something that would make politicians or religious people nervous. They're likely not going to look gay to the AI, and will say "nope I'm not gay, see, it works." The people who look gay to the AI are the kind of people who would tell the scientists and researchers "yes, I am gay."
This must be wrong; you used a sample of openly gay/straight people!
We could not think of an ethically sound approach to collecting a large number of facial images of non-openly gay people.
Thus, we were worried that the images obtained from a dating website might be especially revealing of sexual orientation. However, this did not seem to be the case.
First, we tested our classifier on an external sample of Facebook photos. It achieved comparable accuracy, suggesting that the photos used here were not more revealing than Facebook profile pictures.
Second, we also asked humans to judge the sexual orientation of these faces, and their accuracy was no better than in the past studies where humans judged sexual orientation from carefully standardized images taken in the lab. This suggests that the images used here were not especially revealing of sexual orientationat least, not to humans.
Finally, as mentioned before, the deep neural network used here was specifically trained to focus on fixed facial features that cannot be easily altered, such as the shape of facial elements. This helped in reducing the risk of the classifier discovering some superficial and not face-related differences between facial images of gay and straight people used in this study.
We could not think of an ethically sound approach to collecting a large number of facial images of non-openly gay people.
Shocking amount of anti science post in this thread. Very odd for gaf
1.) It's not accuracy, it's AUC.
2.) The dataset is balanced, so a default classifier would only have an accuracy of 50% anyway.
Fascinating. But what's the purpose of this research? Just cos?
I want to try this on myself because I'm pretty sure it will say I'm gay due to how feminine I can look sometimes, even though I'm straight. Guess the AI doesn't know that gender expression and sexuality are not the same.
pretty good.
I was going to do a much darker version of this taking place in a surveillance control room in Saudi Arabia
So, the real question here is where can I start to upload pictures of my friends?
okay, that was a bad joke,I don't have friends in real life
Is it?
Very few gaffers even understand science so no surprise most people's opinions on here are shocking.
The 91% accuracy apparently is the AUC value (quote taken from the study):
And the dataset was balanced:
From a quick glance, I don't see anything particularly wrong with the methodology here. Also, for those that are interested, the author's notes go over some interesting things in a fairly understandable manner, so people interested should give them a read. For example, about the results:
Not even closePhrenology is back baby awooo
Look at another way it does prove that it isn't just a choice.This is interesting but also depressing in that there are literal discernible differences between gay and straight people. I'm probably overthinking it, but I could see this information being used to "other" gay people even more.
How is that depressing? Isn't it liberating?This is interesting but also depressing in that there are literal discernible differences between gay and straight people.