ARTIFICIAL INTELLIGENCE FOR DUMMIES

Trained versions derived from biased or non-evaluated facts may end up in skewed or undesired predictions. Bias models may possibly bring about harmful outcomes thereby furthering the detrimental impacts on society or objectives. Algorithmic bias is a possible result of data not getting thoroughly organized for instruction. Machine learning ethics