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Using AI to Eliminate Recruitment Bias

Posted onJanuary 2020 By Olivia McNeilis

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Should more end-to-end supply chain hiring managers use artificial intelligence ​to boost the diversity of their candidate pools? Only 9.9% of the STEM workforce are women of color (WOC), according to the National Science Foundation. As we explored in the first part of this series, women of color are uniquely disadvantaged when seeking employment. Too often they face a 'double jeopardy' because of their race and gender and are unfairly dismissed from the recruitment process. Studies show that women of color are less likely to receive a job interview, even when their ability is demonstrated as equal to other candidates. This is bad for business too. In a tightening talent pool, companies can ill-afford to pass up on qualified candidates. Moreover, study after study shows that companies with the highest level of diversity outperform financially the least diverse.

Download Using AI to Eliminate Recruitment Bias to discover how AI can be used as part of a diverse hiring strategy.

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