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Algorithmic Monocultures in Hiring

algorithmichiring.github.io

21–30 of 93 posts

Re: Algorithmic Monocultures in Hiring

#22
This clearly falls under the definition of automated individual decision-making per Article 22 of the GDPR and would be blatantly illegal if it were done in the EU. The GDPR is explicitly designed to outlaw this kind of algorithmic profiling and exclusion in hiring.

https://gdpr-info.eu/art-22-gdpr/

https://www.bloomberglaw.com/external/document/X4BBTPFO00000...

Re: Algorithmic Monocultures in Hiring

#23

Earlier quoted context omitted.

Could join those in the slow life, invest in passive revenue streams, and keep cash burn rates minimal. You will be fine avoiding debt-based indentured 1980 metropolitan cultures. Learn to play a cheap instrument, garden vegetables, paint miniatures, volunteer at pet shelters, or travel to odd destinations. Play the long game, and remember to have fun. You owe corporate nothing outside what they paid for... and not a…

Passive revenue streams are dependent on someone else not having access to those passive revenue streams. Yes, it would be great to be free of debt, but for me it would have to mean moving away to somewhere real estate prices are not only low, but dropping for all too understandable reasons. And also a huge distance away from friends and family. There's a reason people mostly don't do this, and it's not that they fee…

>Passive revenue streams are dependent on someone else not having access to those passive revenue streams.

I think many assume it is some sort of zero-sum-game. This simply isn't how most unique successful product and service based niche businesses operate.

Most firms that directly try to hyper-scale their way into market dominance simply fail within a few years. The smarter bros often cash-out after the IPO these days.

Some people do feel entitled to others free time, and post-unknown-risk capital investments. Those folks can't help anyone succeed at anything except bankruptcy. =3

Re: Algorithmic Monocultures in Hiring

#26

Earlier quoted context omitted.

> So if a demographic group is more likely to apply to some jobs they are not qualified for, this paper would say they are being discriminated against. Your understanding appears to be incorrect. > Our research also found that this pattern does not appear to be the case in other circumstances. We analyzed data from the largest prior study of hiring decisions, which sent 83,000 applications to 108 Fortune 500 firms du…

> There is a single evaluation function for the industry Could this be an opportunity in disguise? Somehow learn what this function wants, maximize it, then the entire industry opens up?

Apparently the key 'hack' is to present white or hispanic.

Re: Algorithmic Monocultures in Hiring

#28
post #2

This sort of thing needs to be illegal. We saw a similar thing wtih RealPage. So many corporate landlords use it that it essentially becomes anticompetitive price-fixing. I've heard a claim that an issue with these ATS AI Systems is that your CV gets scored and that score is cached for some period from 3 to 12 months. So any application with a completely different company with your name will just yield the exact same…

Is it... illegal... to put white characters on your name field? Just thinking out loud here, but what if we fed the AI (and ONLY the AI) a different name for every role. By adding two invisible characters on the space between your name? Would it then make a new index?

Consider characters that look the same but have different unicode?

Re: Algorithmic Monocultures in Hiring

#29

Waaaait why is it not in the incentives of companies hiring to automatically fix this? They instantly get better candidates for cheaper wages.

Yes, but they also hiring is so random already they don't care about it being like 3% better or whatever.

Re: Algorithmic Monocultures in Hiring

#30

Waaaait why is it not in the incentives of companies hiring to automatically fix this? They instantly get better candidates for cheaper wages.

Step one: Decision makers who can change these processes need to be aware of this problem. Many companies fail this simple task.

Step two: These decision makers must be held accountable for the success of the process. Many companies fail this simple task.

Step three: These decision makers must be willing to admit that they made a mistake, and risk loss of prestige and political capital. Guess how likely that is.

And the bigger the company, the worse it gets. It's a good thing we didn't go through 20 years of consolidations and mergers. Oh wait.

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