this post was submitted on 16 Jan 2025
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I don't think there's any filtering going on at this stage.
I imagine it's still in the training phase. It'll look at who gets selected vs. who gets left, and learns about what kind of resumes the hiring team tends to prefer.
It'll also probably be comparing the success of who opts into tracking vs. who declines.
I could also see it following along later -- did this employee meet expectations? Did they quit early? Did they get fired? Etc.
It's likely not going to impact OP, but it will likely mean that AI will be able to be as bad at making decisions as whomever sorts through them! Lol
(Not a dig at any position or role...resumes and interviews are generally not a good assessment of competency for most jobs)
You might overestimate the statistical prowess and care to establish good proccesses in HR.
Nah. I built the onboarding (IT working with HR) at my last two jobs. It's a complex mess, very hard to get right, non-stop tweaking.
Told the dude that hired me today what a dream Lowe's onboarding was. "Yeah. It was a clusterfuck a few years ago, they refined it down." They went from 100 redundant questions on the app to 2. (It had been a stupid personality profile trap.)
Can't speak to other places, but their managers are held to turnover metrics (I'm told). Hiring dumb assess and they keep leaving or getting fired, that's on you. I like that idea. We shall see how it goes!