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

an AI resume screener had been trained on CVs of employees already at the firm, giving people extra marks if they listed “baseball” or “basketball” – hobbies that were linked to more successful staff, often men. Those who mentioned “softball” – typically women – were downgraded.

Marginalised groups often “fall through the cracks, because they have different hobbies, they went to different schools”

  • Overzeetop@sopuli.xyzEnglish
    123·
    9 months ago

    They’re not looking for the exceptional, out there exceptions - they’re looking for statistical pattern which have predicted current success. You may as well say that BMI is a useless metric for long term health complications. They both explicitly misestimate anomalous outliers because they are not designed to identify or classify anomalous outliers.