The Challenge of Labeling Data Without Bias

Labeling data is a critical step in preparing it for AI training, and this process is susceptible to human bias. When individuals label data based on subjective judgments, their biases can be embedded into the AI, affecting its neutrality and accuracy.

Labeling data is a critical step in preparing it for AI training, and this process is susceptible to human bias. When individuals label data based on subjective judgments, their biases can be embedded into the AI, affecting its neutrality and accuracy.

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Training Data Bias

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