Trained Models derived from biased or non-evaluated data can result in skewed or undesired predictions. Biased models could end in detrimental results, therefore furthering the detrimental impacts on society or aims. Algorithmic bias is a possible result of data not remaining absolutely prepared for training. Machine learning ethics is now https://www.liars.org.uk/forum/users/ellamactier/edit/?updated=true/users/ellamactier/