How machine learning can course-correct inherent biases in recruiting

Machine learning can help mitigate the biases present within organisations' recruiting practices Artificial intelligence has often been portrayed as dystopian when it comes to human resources. In one famous example from 2018, Amazon used it significantly in the hiring process but ultimately had to pull the plug when it was revealed that the algorithm was biased against women. The AI was identifying candidates who used masculine words as successful candidates, and instead of addressing this flaw, it reinforced sexism. Yet technology has come a long way in just the last few years. Machine learning is now being used to tackle the problem of bias within hiring decisions, not just looking coldly at performance metrics.