Bias Through Omission in Dataset Curation

In the process of curating datasets for AI training, important data points might be omitted, either because they are deemed irrelevant or due to oversight. This can result in AI systems that lack the information needed to make fair and balanced decisions across diverse scenarios.

In the process of curating datasets for AI training, important data points might be omitted, either because they are deemed irrelevant or due to oversight. This can result in AI systems that lack the information needed to make fair and balanced decisions across diverse scenarios.

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