Task and Explanation Network

Explainability in deep networks has gained increased importance in recent years. We argue herein that an AI must be tasked not just with a task but also with an explanation of why said task was accomplished as such. We present a basic framework – Task and Explanation Network (TENet) – which fully integrates task completion and its explanation. We believe that the field of AI as a whole should insist – quite emphatically – on explainability.