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AI in recruitment has become a structural component rather than a novelty. The efficiency gains are substantial, but we must question whether these systems genuinely assess talent or simply replicate existing hiring patterns under a digital veneer.
Honestly, I get the appeal. HR departments are swamped. But sometimes AI feels way too rigid. A friend of mine didn’t get past the screening because his résumé didn't match the “right” template. That can’t be the future… right?
Algorithmic recruitment apparatuses often function as epistemic filters—reducing multidimensional human attributes into quantifiable artifacts. The process enhances throughput but risks eroding the nuance inherent to human capability evaluation.
Funny how everyone blames AI when half the time it’s the company feeding the system garbage data. People act like algorithms wake up and choose violence.
If AI can spot good employees faster, great. But if it starts picking people the way Netflix picks movies for me, we’re doomed. I still get recommendations for shows I’ve never watched.
Wait—how deep do these systems go? Do they just look at keywords, or do they analyze behavior and personality too? Kinda curious how far companies push it.
When you examine the early development of psychometric screening tools and applicant tracking systems dating back to the early 2000s, you can see how the current AI systems evolved from earlier résumé-ranking models, which relied heavily on standardized scoring matrices that often determined candidate outcomes long before human review occurred. This entire lineage is important, because it shows how bias in early screening tech can persist in modern AI platforms if not carefully audited.
This is sooo fascinating!!! AI is super helpful, but we definitely need rules!! Like, fair rules!! And transparency!! Otherwise people won’t trust the process!!
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