Combatting Algorithmic Bias in Recruiting: The Pursuit of Equitable and Transparent Machine Learning in Human Resources
Combatting algorithmic bias in hiring serves multiple purposes beyond the intrinsic value of pursuing fairness in the hiring process. In addition to protecting the organization from litigation, combatting algorithmic bias can have a positive impact on organizational and financial outcomes, with data supporting the value of diverse teams leading to better decision-making and, ultimately, better results. But how can we be sure our algorithms used for hiring are free from bias?
This white paper explores algorithmic bias in recruiting and outlines steps your organization can take to combat algorithmic bias in recruiting, focusing on prevention, detection, and deterrence of algorithmic bias.