Overfitting to Outliers

Overfitting occurs when an AI system learns to replicate the noise or anomalies in the training data rather than underlying patterns. When datasets contain biases, overfitting to these aspects can exacerbate the representation of existing biases in the system's outputs, making it difficult for it to make unbiased decisions.

Overfitting occurs when an AI system learns to replicate the noise or anomalies in the training data rather than underlying patterns. When datasets contain biases, overfitting to these aspects can exacerbate the representation of existing biases in the system's outputs, making it difficult for it to make unbiased decisions.

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