AI Recruiting: Removing Bias from Hiring Algorithms - EnterpriseTalk

Therefore, to make this process better, employers have begun leveraging algorithmic techniques, in order to hire quality candidates. But the question that often comes up is if hiring algorithms prevent bias or amplify it? Algorithmic screening tools, on the surface seem like an appealing replacement for biased human evaluations. However, there experts have started realizing that these tools reproduce and sometimes magnify human biases found in the datasets based on which these tools are designed. Algorithms do not question the human decisions underlying a dataset – they attempt to replicate past decisions, and this can lead them to replicate all the human biases they were intended to remove in the first place.