Understanding algorithmic bias – Mitigating Algorithmic Bias and Tackling Model and Data Drift
Understanding algorithmic bias Algorithmic bias is a pivotal issue in the world of ML. It occurs when a system, intentionally or not, generates outputs that are unfair or systematically prejudiced toward certain individuals or groups. This prejudice often originates from the fact that these systems learn from existing data, which itself can be riddled with […]