The persistent gender bias in algorithmic decisions underscores the urgent need for ethical awareness in tech development. Beyond the mere acknowledgment of the problem, it calls for active measures such as diverse dataset training, regular bias audits, and ethical frameworks guiding AI development. By prioritizing ethics, developers can work towards dismantling existing biases, ensuring that technology serves as a tool for promoting gender equality rather than exacerbating disparities.
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