Algorithmic Bias

Definition

Systematic and unfair discrimination produced by a machine learning algorithm, arising from biased training data, flawed model design, or the encoding of historical inequalities. Algorithmic bias creates legal, regulatory, and reputational exposure — particularly in high-stakes domains such as credit, hiring, and healthcare — and is a material risk factor in AI due diligence and ESG assessments.