Algorithmic hiring bias measurement improving equitable workforce recruitment
The rapid adoption of artificial intelligence in human-resources management has created new opportunities for streamlining decisions, evaluating applicants, and improving hiring accuracy. However, this digital transformation also brings a significant challenge: algorithmic bias. When hiring algorithms unintentionally favor or disadvantage certain groups, organizations risk undermining fairness, losing valuable talent, and violating anti-discrimination laws. As global … Read more