The role of regulations in eliminating AI bias against women starts at the development phase, ensuring that AI systems are designed and trained on diverse datasets. Regulations can mandate that developers use gender-balanced data and incorporate fairness algorithms to detect and correct biases before deployment. This preemptive approach is crucial in preventing discriminatory practices from being encoded into AI systems.
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