Qualified designs derived from biased or non-evaluated data can lead to skewed or undesired predictions. Biased designs may result in detrimental results, thereby furthering the damaging impacts on Modern society or goals. Algorithmic bias is a potential result of data not being thoroughly prepared for training. Machine learning ethics has become a… Read More