AI Bias in SaaS Applications: How to Avoid It
Bias creeps in through data, features, labels, and deployment decisions. The fix is a disciplined “system of action” that limits where bias can enter and makes fairness observable: collect representative data with consent, design features that minimize proxy discrimination, evaluate with subgroup metrics and exposure constraints, and gate automated actions with policy‑as‑code, simulation, and human … Read more