The AI industry acknowledges the existence of gender bias in algorithms but struggles with a comprehensive strategy to eradicate it. While there have been significant steps towards identifying and mitigating bias, such as AI audits and enhanced training datasets, these efforts are often fragmented. A coordinated, industry-wide approach focusing on inclusivity from the design phase to deployment is essential for substantial progress.
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