Machine learning and AI systems are only as unbiased as the data they are trained on. To counteract gender stereotypes, it's crucial to include diverse datasets and continually review and update algorithms to ensure they don't reinforce outdated or harmful stereotypes. Transparency in how algorithms are designed and the data they use is key to understanding potential biases and correcting them.
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