Q&A: How can organizations improve fairness in automated AI systems?

Researchers introduced a framework that treats AI fairness as a continuous management problem similar to cybersecurity. The approach divides automated systems into data, models, and decision rules to help teams track ethical trade-offs. It requires practitioners to maintain ongoing human oversight instead of checking off fairness once at launch.

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