Dive Brief:

• There is a concerted effort by organizations to increase diversity in recruitment, says Enterprise Times. The three focal areas of diversity in hiring include gender, race, and functionality (disabled candidates). 
• A McKinsey survey highlighted that the "top 25% of companies that are ethnically and gender diverse are 35% more likely to have above-average financial returns than other organizations." 
• According to the article, new machine learning processes in recruitment that only focus on job descriptions and candidate skills can help to remove some of the bias. Other solutions that detect human bias may also be the future of more fair recruitment products. 

Dive Insight:

It's interesting to consider that human beings, even when aware an issue exists, are less capable of leaving bias out of hiring decisions than computers.

New Artificial Intelligence recruitment technology being introduced can help reduce unintentional bias, but there still is no substitute for good recruitment practices and trusting one's instincts about a candidate. If more recruiters are trained and monitored for fair hiring practices, this may be one solution.

A system of checks can be put into place to remind recruiters why they are leaning towards one candidate versus another, to rule out personal bias.