I would be surprised if the results were different.
Algorithmic Monocultures in Hiring
21–30 of 177 posts
Re: Algorithmic Monocultures in Hiring
#22They find "disparate impact" of pymetrics across racial groups, but it doesn't seem like they controlled for anything.
Re: Algorithmic Monocultures in Hiring
#23> To measure adverse impact, we apply the EEOC’s “four-fifths rule,” which flags a position when one group is recommended at less than 80% of the rate of the most-recommended group That seems like a nonsensical way to measure racial discrimination. What could justify it?
it sounds like how you'd get that kind of metric at least
Re: Algorithmic Monocultures in Hiring
#24Definitely open to opposing or critical views
Re: Algorithmic Monocultures in Hiring
#25> To measure adverse impact, we apply the EEOC’s “four-fifths rule,” which flags a position when one group is recommended at less than 80% of the rate of the most-recommended group That seems like a nonsensical way to measure racial discrimination. What could justify it?
Here's some analysis of what it is and why it's useful as a canary in the coal mine: https://www.prevuehr.com/resources/insights/adverse-impact-a...
Re: Algorithmic Monocultures in Hiring
#26Some job application websites I've seen actually have a yes or no option to consent to AI review that they claim is to simply assist HR and not actually screen you. I always select no. There is no way that selecting yes would ever be in my interest. I'm sorry, I'm going to force a real human to look at my stuff if I still can.
Re: Algorithmic Monocultures in Hiring
#27Re: Algorithmic Monocultures in Hiring
#28> To measure adverse impact, we apply the EEOC’s “four-fifths rule,” which flags a position when one group is recommended at less than 80% of the rate of the most-recommended group That seems like a nonsensical way to measure racial discrimination. What could justify it?
The assumption that applicants from all races are on average equally qualified for every position. Whole subfields of modern academia are based on that assumption.
Re: Algorithmic Monocultures in Hiring
#29> To measure adverse impact, we apply the EEOC’s “four-fifths rule,” which flags a position when one group is recommended at less than 80% of the rate of the most-recommended group That seems like a nonsensical way to measure racial discrimination. What could justify it?
It indicates there may be adverse impact to one group. It specifically is not used to resolve racial discrimination.
It's purely a signal for "we should consider asking more questions, because this appears unusual". That's what your quote says too, it "flags" a low recommendation -- it's indicating further study and investigation is likely warranted.
Re: Algorithmic Monocultures in Hiring
#30> To measure adverse impact, we apply the EEOC’s “four-fifths rule,” which flags a position when one group is recommended at less than 80% of the rate of the most-recommended group That seems like a nonsensical way to measure racial discrimination. What could justify it?
This doctrine is the basis for much of employment law. It is a significant reason why employers don't administer IQ tests (or equivalents) to screen candidates since ~the 90s.
A common objection to the doctrine is that it leads to unfalsifiable discrimination claims, which is why it seems nonsensical to you.