Algorithmic bias refers to systematic and repeatable errors in a computer system that create unfair outcomes, often manifesting as discrimination against particular groups of people. These biases aren’t necessarily intentional; they arise from the data used
AI systems learn from the data they’re fed, and if that data reflects existing biases within a company, the AI will likely perpetuate and even amplify those biases. For example, if performance reviews
For years, recruiters have struggled with the inherent biases in human judgment. Subconscious preferences, stereotypes, and even simple time constraints can lead to unfair hiring practices. The promise of AI was to create a