machine learning and talent selection
Machine Learning and Talent Selection: Moving Us Forward or Back?
Research shows that machine learning algorithms may learn and incorporate bias into their decision-making processes. They help make better decisions, in part, because of the large amounts of data that can be extracted – from content provided around decisions that were made in the past to the outcomes that resulted. Each transaction provides a historical map from which better decisions can be made. But the truth is, when it comes to people at work and many human capital decisions, there is no cookie cutter approach. And those past decisions may not form the best map to read from when informing future outcomes.