Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules

Machine learning technologies are increasingly being applied in many different domains in the real world. As autonomous machines and black-box algorithms begin making decisions previously entrusted to humans, great academic and public interest has been spurred to provide explanations that allow user... View More