Auditing Fairness and Bias in AI Models
Fairness in artificial intelligence has moved from a technical topic to a governance responsibility. Regulators and investors now expect boards to identify who owns algorithmic risk, to understand how high‑impact models make decisions, and to show that monitoring is continuous. Internal audit is not expected to rebuild models. Its job Read More
