Dear colleagues,

Artificial intelligence (AI) has the potential to revolutionize industries, but it also risks perpetuating bias, inequality, and reinforcing societal power imbalances. Biased algorithms and discriminatory datasets can disadvantage marginalized groups, limiting opportunities and fairness in AI-driven decision-making.

To mitigate these risks, what strategies should AI developers implement to ensure transparency, accountability, and fairness in AI models? How can ethical AI principles be integrated into model training, data collection, and real-world deployment to protect underrepresented communities?

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