AI is changing how companies hire talent—automating resume screening, conducting video interview analysis, and predicting cultural fit. Platforms like HireVue and Pymetrics use algorithms to assess candidates beyond just qualifications, analyzing facial expressions, tone of voice, and behavioral traits. For recruiters, this reduces time-to-hire and helps spot patterns that humans might miss.
But there’s growing concern about bias in hiring algorithms. If the training data reflects existing inequalities, AI may unintentionally reinforce them. This post delves into the pros and cons of AI-powered recruitment, how companies can ensure fairness, and whether AI can (or should) replace human judgment in critical hiring decisions.