RE: LeoThread 2025-01-23 12:37

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Part 8/12:

Bias in AI systems is a critical issue that can lead to wide-ranging societal consequences. When AI is trained on data sets that are not fully representative, it risks perpetuating unfair biases. This unchecked bias can foster a lack of trust in AI technologies, leading to stagnation and a potential failure to advance responsibly. Addressing bias is imperative to ensure the equitable and ethical development of AI systems.

Lack of Collaboration



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