Evolution of Bias in Human and Machine Learning Algorithm Interaction

Human algorithm interaction: people are now affected by the output of all types of machine learning algorithms. social media, blogs, social networks, and other services and applications. Motivation: ML algorithm relied on reliable labels from experts to build prediction. However, ML algorithm started to receive data from the more general population. The interaction leads to biased result which is caused by ingesting unchecked information from general population, such as biased samples and biased labels