AI systems can be designed to continuously learn and adapt in order to overcome gender bias. By implementing feedback loops that allow these systems to be corrected and improved upon discovery of biases, AI can evolve to become more fair and equitable. This adaptive approach requires ongoing monitoring and adjustment but represents a dynamic solution to the problem of gender bias in AI.
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