Why Algorithmic Bias Persists Even After 'Fair' Algorithms

Engineers often assume bias can be fixed with the right algorithm. Research shows the reality is messier. Bias enters AI systems from training data, problem framing, deployment context, and feedback loops — and removing it from one stage rarely eliminates it from the others.