For AI and automation to truly aid in achieving gender-balanced recruitment, the systems need to be trained with fairness in mind. This involves not only cleansing training data of biases but also incorporating fairness metrics into the AI development process, ensuring that recruitment algorithms promote equal opportunities for all genders.
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