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.

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

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.

Lipton (2018) says of interpretability that it “reflects several distinct concepts,” which is to say that it is used inconsistently, or at best equivocally.

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.

Interpretability is the degree to which machine learning algorithms can be understood by humans. More specifically, interpretability describes the ability to understand the reasoning behind predictions and …

Lipton (2018) says of interpretability that it “reflects several distinct concepts,” which is to say that it is used inconsistently, or at best equivocally.

Interpretability is defined as the degree to which an algorithm's internal workings or parameters can be understood and examined by humans. It involves how the effectiveness of the algorithm's output is …