Method and System to Enable User Feedback and Summarize Return of Investment for ML Systems

A method for enabling user feedback and summarizing return of investment for machine learning systems, the method comprising:

• providing a training data set and an initial machine learning model;
• providing a result of the initial machine learning model;
• receiving feedback on the result of the initial machine learning model from a user enriching the training dataset based on the feedback to an enriched data set;
• and
• retraining the initial machine learning model to a retrained machine learning model based on an enriched data set;
• wherein the step of receiving feedback on the result of the initial machine learning model from a user is based on queries about an area of interest regarding a reasoning of the initial machine learning model, and wherein the step of receiving feedback on the result of the initial machine learning model from a user is based on interactive explanations allowing a user to provide feedback about the area of interest.