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How Machine Learning Can Create a More Meritocratic, Less Biased Job Market
The traditional hiring process is failing candidates, companies and recruiters. It revolves around human interpretation of complex data that is too susceptible to prejudices and mental shortcuts. A hiring process assisted by machine learning could eliminate systemic biases that put social status over skill. However, in recent news, algorithms have failed at that task. A resume screening algorithm developed at Amazon became biased against female applicants. Another such algorithm favored candidates named Jared who played lacrosse.