3b(vi). Inherent data bias

The Data Scientist is supposed to analyze and document potential bias present in the data and assess how this bias might affect the results and the usage of the models.


  • Juan Bernabé Moreno says:

    For example, if a company has a male majority in leading positions and gender is included as a feature in a model to score candidates for leading positions, women will probably obtain a lower score.

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