Techniques to Elimenate Human Bias in Machine Learning

In an era where human lives have certain dependence on artificial intelligence and machine learning, it is essential for them to make unbiased and accurate predictions. This paper addresses the issue of the inclusion of a human bias in a machine learning algorithm and how it goes to produce skewed results. It goes through the prominent types of human biases and real life incidents where the inclusion of a human bias has had a negative impact. This paper provides a comprehensive review of the methods that can be incorporated to eliminate a human bias focusing on the use of machine ethics making mention of community groups working towards the same.