Interpretability In mathematical logic, interpretability is a relation between formal theories that expresses the possibility of interpreting or translating one into the other.

AI interpretability is the ability to understand and explain the decision-making processes that power artificial intelligence models.

5 days ago · Artificial intelligence Mechanistic interpretability New techniques are giving researchers a glimpse at the inner workings of AI models.

1 day ago · Comprehensive study notes on explainability, interpretability, and human oversight in AI, covering practical examples, industry relevance, and regulatory requirements.

Interpretation is something one does to an explanation with the aim of producing another, more understandable, explanation. As with explanation, there are various concepts and methods involved …

Jul 23, 2025 · What is Model Interpretability? Model interpretability refers to the ability to understand and explain how a machine learning or deep learning model makes its predictions or decisions.

Oct 10, 2024 · Interpretability describes how easily a human can understand why a machine learning model made a decision. In short, the more interpretable a model is, the more straightforward it is to …

The meaning of INTERPRETABILITY is the quality or state of being interpretable. How to use interpretability in a sentence.

Explainability refers to the ability of a model to provide clear and understandable explanations for its predictions or decisions. Interpretability, on the other hand, focuses on the ability to understand and …

Interpretability is about mapping an abstract concept from the models into an understandable form. Explainability is a stronger term requiring interpretability and additional context.