Used correctly, artificial intelligence (AI) can help companies increase the diversity of their candidate pools. Should more engineering firms being using artificial intelligence to do the same?
It's no secret that engineering has a diversity problem. In STEM, less than a quarter of the workforce are women and only 9.9% are women of color. As we explored in the first part of this series, Advancing Women of Color, women of color are at a particular disadvantage when seeking employment. Studies show that women of color are less likely to receive a job interview, even when their skills, experience and ability are demonstrated at equal.
Removed from human prejudice, artificial intelligence promises to increase workplace diversity. This guide examines how AI is currently being applied throughout the recruitment process as part of a diverse hiring strategy. In Can AI Boost Diversity in Engineering? youโll find:
The reasons behind implicit and explicit hiring biases
How AI can increase job applications from women and ethnic minorities
How AI can more fairly assess and predict candidate performance
Recommendations for creating a diverse candidate pipeline
Download the guide today for valuable insights into the benefits of AI recruitment technology.
โ
โ