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Qualified models derived from biased or non-evaluated facts may result in skewed or undesired predictions. Biased models may cause detrimental outcomes, therefore furthering the negative impacts on Culture or goals. Algorithmic bias is a possible result of data not becoming entirely ready for schooling. Machine learning ethics has become a industry