To bridge the gender divide embedded in our algorithms, ethical strategies in algorithmic design are indispensable. This involves the intentional inclusion of diverse perspectives at all stages of algorithm development, from conceptualization to deployment. Ethical strategies also entail transparency in algorithmic decision-making processes, enabling users to understand and challenge biased outcomes. Fostering an environment of continual learning and adaptation can further mitigate gender bias in technology.
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