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. With the meteoric rise of AI over the past decade, and in particular deep learning, an issue that has been gaining more and more traction is that of explainability.