How to Use Machine Learning to Eliminate Human Biases

Throughout all the uncertain economic news of the past few years, one trend has stayed constant: it’s increasingly hard to find and attract good candidates for many of the roles that global companies require. This competition for the right people has pushed HR and business-line leaders alike to be more discerning in their candidate selection, and to find new approaches to assessing an applicant’s likelihood of success. And the recent use of algorithmic assessments and machine learning has helped recruiters screen large volumes of applicants. But, as with any technology, it still requires human oversight. When using these assessment methods, managers should still ask themselves the following questions: How can I link the appealing traits in a candidate’s application to specific business outcomes (such as, “help improve our customer service processes”)? Which…

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