How Prejudice Creeps into AI Systems

Machine learning (ML) algorithms identify patterns in data. Their major strength is the desired capability to find and discriminate classes in training data, and to use those insights to make predictions for new, unseen data. In the era of "big data", a large quantity of data is available, with all sorts of variables. The general assumption is that the more data is used, the more precise the algorithm and its predictions become. When using a large amount of data, it clearly contains many correlations.