Since AI systems are only as good as the data they are trained on, advocating for responsible data practices is crucial. This includes ensuring data collection methods are fair, transparent, and without bias, and that privacy rights are respected. Women in AI can lead initiatives that audit data for bias and implement corrective measures.
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