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You’ll have the flexibility to work as much or as little as you choose - 20hrs/week is suggested, but not a limit. Start working in as little as 48 hours. Your final hourly rate will be chosen by Outlier AI and determined by your location.
lmao no fuck offffffffff

my final hourly rate will be
chosen by a fucking ML model?? That shit cannot be legal.

EDIT: Naming and shaming this one:
https://www.linkedin.com/jobs/view/4047619141/

EDIT 2: As a few people have pointed out, apparently "Outlier AI" is a
company, not the name of their model. This all still sucks ass (in a bad way) and I am quite sure you're not going to get paid very much, but it's potentially at least not pay-rate-by-ML-model. I doubt there's much transparency or fairness in the pay though.

The company, which bills itself as a full end to end AI hiring pipeline, gave very little confidence that your pay amount would not be decided upon by an ML model, hence my lack of any benefit of the doubt. So I still wouldn't trust them any further than I could throw them, but.

It's... I hesitate to say
better, because you're ostensibly training your replacement for an unknown-at-this-time sum.

@aud some business people are going to use it until a court makes them stop

@hipsterelectron@circumstances.run "We see you have spent the entire past month working 160 hours! Wow! When we combine that with the ethnicity and gender of your name, some data we bought from a data broker, and certain skull measurements, our Outlier AI model tells us that why, you're lucky to even work! You're welcome for the experience!"

@aud "certain" skull measurements because everyone knows some of them aren't worth shit. we stay up to date with leading skull scientists to get you the best of the best top tier eugenics

@hipsterelectron@circumstances.run I still can't fucking believe (yes I can) that they just... actually try this shit

https://journalofbigdata.springeropen.com/articles/10.1186/s40537-019-0282-4

hilariously, a search for "phrenology" in the yields nothing. Strange.

SpringerOpenRETRACTED ARTICLE: Criminal tendency detection from facial images and the gender bias effect - Journal of Big DataExplosive performance and memory space growth in computing machines, along with recent specialization of deep learning models have radically boosted the role of images in semantic pattern recognition. In the same way that a textual post on social media reveals individual characteristics of its author, facial images may manifest some personality traits. This work is the first milestone in our attempt to infer personality traits from facial images. With this ultimate goal in mind, here we explore a new level of image understanding, inferring criminal tendency from facial images via deep learning. In particular, two deep learning models, including a standard feedforward neural network (SNN) and a convolutional neural network (CNN) are applied to discriminate criminal and non-criminal facial images. Confusion matrix and training and test accuracies are reported for both models, using tenfold cross-validation on a set of 10,000 facial images. The CNN was more consistent than the SNN in learning to reach its best test accuracy, which was 8% higher than the SNN’s test accuracy. Next, to explore the classifier’s hypothetical bias due to gender, we controlled for gender by applying only male facial images. No meaningful discrepancies in classification accuracies or learning consistencies were observed, suggesting little to no gender bias in the classifier. Finally, dissecting and visualizing convolutional layers in CNN showed that the shape of the face, eyebrows, top of the eye, pupils, nostrils, and lips are taken advantage of by CNN in order to classify the two sets of images.

@aud amazed that they actually got it retracted maybe there is some hope of resistance

@hipsterelectron@circumstances.run only because other researchers had to take the time to target it, basically: http://arxiv.org/pdf/2006.03895

@aud @hipsterelectron seems like a good use of time to take that horse shit down tho.

@cthos@mastodon.cthos.dev @hipsterelectron@circumstances.run Oh, I mean, definitely, I agree, like obviously they're trying to push it and it would have worked. But it's obviously bullshit they had to. I feel like if you accept "phrenology but with a computer" you should not get to be a journal anymore because what the fuck is even the point of you being a gatekeeper if you can't keep the goddamned debunked science out?

@aud @cthos and also if/as this gets more common we are all collectively not gonna have enough time to refute the bullshit

@hipsterelectron @aud @cthos

We _already_ have this problem

Much easier to generate bullshit than to refute it; it's 2nd law of thermodynamics all the way down

Cassandrich

@trochee @hipsterelectron @aud @cthos We need to affirm the shortcuts we have to reject bullshit. You don't fact-check it. You treat it as automatically invalid by provenance: the identities or lack thereof of the people promoting it.

Incompetent liberal centrism treats this as a logical fallacy. It's not. It's fundamental to how you deal with asymmetry.