Earlier quoted context omitted.
We're pretty much there today.
except for the phrenology part :)
I have built ML workflow for over a decade now. The amount of hogwash I've seen hocked definitely classifies as phrenology :)
Facial recognition can predict person’s political orientation with 72% accuracy
221–230 of 421 posts
Re: Facial recognition can predict person’s political orientation with 72% accuracy
#222Earlier quoted context omitted.
I suspect we're going to see the same thing we saw in the model that can detect sexual orientation with much better than chance odds. It was, apparently, detecting that gay men tend to take or select images of themselves for a dating profile using a different angle, better lighting, and possibly differences in things like hairstyle and beards. Very anecdotally, I've noticed a possible weak correlation between certain…
Obviously it's looking at something . I feel like everyone is jumping to assuming the authors are implying it's somehow in the person's facial structure, but it doesn't say that. If it's looking at the quality of the photo, or the trim of the beard, that's still interesting. Among other things, it means that you know analyses like this might start cropping up everywhere you submit your photo (job application cover le…
This must be how god feels.
Re: Facial recognition can predict person’s political orientation with 72% accuracy
#223There's an avalanche of people commenting on this who didn't bother to check the article before raising their methodological objections, so let's get these out of the way here. - Yes, they controlled for objects appearing in the pictures that might indicate political affiliation. The images are tightly cropped around the face. See Methods. - Yes, this is significantly better than both a coin flip and a human classifi…
So even filtering for the extremely limited number of things that you allow us to find problematic, by their own admission : - they know that it's actually probably "working" (lol 72%) because of other biases they didn't take into account - Ultimately it puts people into 2 bins which are both huge and disparate and reduce complexe multi-dimensional elements to a meaningless binary. cool cool cool.
Surely the ability to sort people into meaningless bins on facial features alone is worthy of note?
Let's say you created an arbitrary classification ("number of letters in street address" or "cosine of age in minutes") and an alorithm could predict that based on a photo alone. That would surely indicate that the classification wasn't arbitrary and there was something more interesting happening?
At the very least you'd want to dig deeper.
Re: Facial recognition can predict person’s political orientation with 72% accuracy
#224Earlier quoted context omitted.
I think this is a very dangerous line of study. I can easily see these results getting used to forward racism and other appearance based discrimination.
Truth doesn't really care about your sensibilities. It seems there is actually an art to finding the mind's construction in the face! What this is really telling us is that we should not be judging others on their political, sexual, ideological, whatever-ical affiliations. A person is a person and we should value them for that and only that. These other qualities may be more or less useful in some sense, but not in t…
> Truth doesn't really care about your sensibilities.
I think the GP was questioning the wisdom of seeking a detail answer on this question; not whether or not the question has an objectively true answer.
Re: Facial recognition can predict person’s political orientation with 72% accuracy
#225There's an avalanche of people commenting on this who didn't bother to check the article before raising their methodological objections, so let's get these out of the way here. - Yes, they controlled for objects appearing in the pictures that might indicate political affiliation. The images are tightly cropped around the face. See Methods. - Yes, this is significantly better than both a coin flip and a human classifi…
So even filtering for the extremely limited number of things that you allow us to find problematic, by their own admission : - they know that it's actually probably "working" (lol 72%) because of other biases they didn't take into account - Ultimately it puts people into 2 bins which are both huge and disparate and reduce complexe multi-dimensional elements to a meaningless binary. cool cool cool.
> lol 72%
It takes 33 bits to single out a human. 72% means a substantial fraction of a bit -- it's not much, but combine it with a few dozen other clues of similar magnitude and you're really getting somewhere.
Re: Facial recognition can predict person’s political orientation with 72% accuracy
#226Earlier quoted context omitted.
I think this is a very dangerous line of study. I can easily see these results getting used to forward racism and other appearance based discrimination.
Truth doesn't really care about your sensibilities. It seems there is actually an art to finding the mind's construction in the face! What this is really telling us is that we should not be judging others on their political, sexual, ideological, whatever-ical affiliations. A person is a person and we should value them for that and only that. These other qualities may be more or less useful in some sense, but not in t…
Do you think people hundreds of years ago with different common political views - some of which we'd find abhorrent now - had different faces too?
Someone should test this classifier on old images. Maybe it's just identifying fashion, not facial structure.
Re: Facial recognition can predict person’s political orientation with 72% accuracy
#227I just wish people called it 'correlates' instead of prediction since ML algo's often fall in the correlation category, not the predicting one.
Agreed. Without the addition of causal inference this is phrenology in ML drag. To their credit the authors say "Here, we explore correlations between political orientation and a range of interpretable facial features. . ."
https://en.wikipedia.org/wiki/Phrenology
https://www.goodreads.com/book/show/36204378-the-book-of-why
Re: Facial recognition can predict person’s political orientation with 72% accuracy
#228There's an avalanche of people commenting on this who didn't bother to check the article before raising their methodological objections, so let's get these out of the way here. - Yes, they controlled for objects appearing in the pictures that might indicate political affiliation. The images are tightly cropped around the face. See Methods. - Yes, this is significantly better than both a coin flip and a human classifi…
So even filtering for the extremely limited number of things that you allow us to find problematic, by their own admission : - they know that it's actually probably "working" (lol 72%) because of other biases they didn't take into account - Ultimately it puts people into 2 bins which are both huge and disparate and reduce complexe multi-dimensional elements to a meaningless binary. cool cool cool.
>Ultimately it puts people into 2 bins which are both huge and disparate and reduce complexe multi-dimensional elements to a meaningless binary
Binary, yes. Meaningless, no. Having multi-dimensional information is better than binary information, but having binary information is better than no information (or guessing). Telling me the temperature, humidity, wind, cloud cover, and precipitation outside gives me more information than just telling me it is hot or cold outside. But knowing if it is hot or cold outside is still far better than not knowing anything. You can still make decisions and take actions based on limited information, which you could not do with no information.
Re: Facial recognition can predict person’s political orientation with 72% accuracy
#229Sigh - modern day phrenology, but wrapped in AI. Just what we need :p
Re: Facial recognition can predict person’s political orientation with 72% accuracy
#230Earlier quoted context omitted.
Because the commonalities that exist between people help them overcome their differences, understand each other better and reflect on themselves.
I’m positing that more differences = weaker relationship. Are we agreeing?
That depends a bit. Differences can complement each other.
Some people might be better at some things, while others are better at other things. (thus combining strengths)
Some people might actually be really bad at some other things yet again, while others could happen to be very good at them (thus covering each others weaknesses)
When you have people with different backgrounds and training all working together you can do things together that you wouldn't otherwise be able to do separately.