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The Subjectivity of Machines: Why AI Can Further Hiring Bias

​Racial and gender hiring biases place women of color at a particular disadvantage when seeking employment. So far in our series, Advancing Women of Color in STEM, we have explored how women of color face a 'double jeopardy' when seeking employment, as well as how artificial intelligence (AI) may provide a useful tool to increasing their representation in the tech sector. Letting a machine make recruitment and hiring decisions promises to increase diversity by focusing on merit only, unhindered by human prejudice, but is artificial intelligence really free from bias?

Despite a real demand to boost diversity to improve organizational performance, hiring bias proves a real obstacle to increasing workplace diversity. According to the National Science Foundation, only 9.9% of the STEM workforce is occupied by women of color.

In this guide, we discover why artificial intelligence is far from neutral and can hinder efforts to boost workforce diversity.