AI hiring tools may be filtering out the best job applicants

As firms increasingly rely on artificial intelligence-driven hiring platforms, many highly qualified candidates are finding themselves on the cutting room floor.

  • Overzeetop@beehaw.org
    link
    fedilink
    arrow-up
    1
    ·
    8 months ago

    Huh, I guess I’ve just adapted with the enshitification arc. It aways seems pretty clear when the publications are not specialized that the “reviews” are really just generated or copy/paste lists of devices with affiliate links - and are essentially just paid advertising (though paid by vendors and not manufacturers in this case). I will agree that it’s infuriating to have to sift through the ever-growing AI generated content to find something which has novel information.

  • Gaywallet (they/it)@beehaw.orgM
    link
    fedilink
    arrow-up
    0
    ·
    8 months ago

    This really does not surprise me one bit. But also, nobody using these tools really cares. It reduces the amount of applications they need to review, which is often all they care about. Can’t wait for the inevitable company to pop up which will do the AI equivalent of SEO stacking your resume so you can get a job.

    Also, perhaps more importantly, this is just going to undo fifty years of antiracism and antisexism work. The biggest problem with AI is that it’s trained on a bigoted system and when it’s used to gatekeep said system, it just creates additional inequality.

    • TehPers@beehaw.org
      link
      fedilink
      English
      arrow-up
      1
      ·
      8 months ago

      Building off your last point, with AI models, bias can come in ways you might not expect. For example, I once saw a model that was trained with diversity in mind, but then only ever output Asian people with a high bias towards women. It seems to me like diversity is something that is difficult to train into a model since it’d be really difficult not to overfit it on a specific demographic.

      It might be interesting to see if a random input into the model could be used to increase the diversity of the model outputs. This doesn’t really help with resume screening tools though (which are probably classifiers), only really generative models.