Properly trained models derived from biased or non-evaluated data may end up in skewed or undesired predictions. Biased products may well cause harmful results, thus furthering the negative impacts on society or targets. Algorithmic bias is a potential results of data not becoming fully well prepared for training. Machine learning ethics is startin