Title: Enhancing Data Diversity Through Community Contributions One of the root causes of AI bias is the lack of diversity in training data. Community-led initiatives can address this challenge by contributing a more diverse set of data points, reflecting a wide spectrum of human experiences, cultures, and backgrounds. This enriched dataset helps in training more inclusive AI models that better understand and serve the needs of diverse populations.
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