ai agent bias mitigation
Machine Learning Bias: Who Wins the Bias Battle?
Developers can mitigate bias in AI agents by conducting rigorous pre-deployment risk assessments, applying data-centric de-biasing techniques, and embedding fairness constraints into model architectures. In 2025, a corporate audit revealed that 73% of autonomous scheduling agents over-represented certain demographics, eroding productivity across multiple divisions. Today, organizations combine governance frameworks with