Although the tech community has become more vigilant about gender bias in machine learning models, the efforts so far are just the beginning. Innovations such as algorithmic auditing and ethics in AI training courses are essential steps forward. However, the scale and complexity of the challenge require more than just isolated actions. Comprehensive strategies encompassing education, regulation, and community engagement are crucial for meaningful change.
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