Bias in AI

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Unfair outcomes due to biased training data.

Bias in AI refers to the unfair or discriminatory outcomes that may result from training data. It’s a critical concern in generative AI as it can lead to biased content generation.

Addressing bias in AI is essential for ensuring that generative models produce fair and inclusive content.