task and explanation network
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.
2401.01732
Country:
- North America > United States (0.14)
- Europe > Slovenia > Drava > Municipality of Benedikt > Benedikt (0.04)
- Asia > Middle East > Israel > Southern District > Beer-Sheva (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.37)