Report
Task and Explanation Network
| العنوان: | Task and Explanation Network |
|---|---|
| المؤلفون: | Sipper, Moshe |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing |
| الوصف: | 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. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2401.01732 |
| رقم الانضمام: | edsarx.2401.01732 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |