Gender bias in algorithms, particularly those related to personalization and content recommendation, can perpetuate stereotypes and exclusion. Developing algorithms that are transparent, accountable, and adjustable based on user feedback is crucial for mitigating these biases and ensuring equitable user experiences.
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