Bias in AI

Bias in AI refers to the unfair and systematic discrimination by AI systems due to biased data, algorithms, or deployment practices. It can manifest as data bias, where training datasets do not represent diverse populations, or algorithmic bias, where models unintentionally amplify existing biases. Addressing bias in AI is crucial to ensure equitable and fair outcomes for all users.

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