AI Model Utilization Measurements For Finding Class Encoding Patterns. (arXiv:2212.06576v1 [cs.LG])

This work addresses the problems of (a) designing utilization measurements of
trained artificial intelligence (AI) models and (b) explaining how training
data are encoded in AI models based on those measurements. The problems are
motivated by the lack of explainability of AI models in security and safety
critical applications, such as the use of AI models for classification of
traffic signs in self-driving cars. We approach the problems by introducing
theoretical underpinnings of AI model utilization measurement and understanding
patterns …

class patterns