Can Personalization in Online Employment Platforms Drive Hiring Bias?

Many U.S. employers use online platforms to advertise available positions. These platforms rely on a range of Machine Learning (“ML”) algorithms embedded in AI mechanisms, including personalized algorithms, by which content is tailored to individual users’ preferences and behaviors. These mechanisms may be problematic from the standpoint of fairness in hiring. The optimization of personalization applications to create increasingly accurate predictive models has been extensively studied