Machine (data-driven learning-based algorithmic) decision making is increasingly being used to assist or replace human decision making in a variety of domains ranging from banking and recruiting to judiciary and journalism. Recently concerns have been raised about the potential for bias and unfairness in such algorithmic decisions. I