Hiring can time-consuming, costly and highly consequential for both employees and companies. 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.
