Tackling Bias and Explainability in Automated Machine Learning

Automated machine learning is likely to introduce two critical problems. Fortunately, vendors are introducing tools to tackle both of them. Adoption of automated machine learning -- tools that help data scientists and business analysts (and even business users) automate the construction of machine learning models -- is expected to increase over the next few years because these tools simplify model building. For example, in some of the tools, all the user needs to do is specify the outcome or target variable of interest along with the attributes believed to be predictive. The automated machine learning (autoML) platform picks the best model.