Addressing gender bias in machine learning is not a one-time task but a continuous effort. As AI technologies evolve, new forms of bias can emerge, requiring ongoing vigilance and adaptation. Current efforts, while commendable, must evolve and expand, incorporating the latest research findings and societal changes. Continuous education and training for AI developers are crucial components of this effort.
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