Trained models derived from biased or non-evaluated data can result in skewed or undesired predictions. Biased models may possibly cause detrimental outcomes, thus furthering the unfavorable impacts on Modern society or objectives. Algorithmic bias is a possible result of data not currently being fully ready for training. Machine learning ethics is