Models are interpretable when humans can readily understand the reasoning behind predictions and decisions made by the model. The more interpretable the models are, the easier it is for someone to comprehend and trust the model.

explain, expound, explicate, elucidate, interpret mean to make something clear or understandable. explain implies a making plain or intelligible what is not immediately obvious or entirely known. expound implies a careful often elaborate explanation. explicate adds the idea of a developed or detailed analysis.

Oct 8, 2024 · AI interpretability helps people better understand and explain the decision-making processes that power artificial intelligence (AI) models. AI models use a complex web of data inputs, algorithms, logic, data science and other processes to return insights.

Sep 8, 2024 · 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.

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 make sense of how a model works and why it makes certain predictions.

Aug 31, 2020 · Interpretability takes many forms and can be difficult to define; we first explore general frameworks and sets of definitions in which model interpretability can be evaluated and compared (Lipton 2016, Doshi-Velez & Kim 2017).

Jan 16, 2025 · Understand the difference between model explainability and interpretability in machine learning and AI. Learn how LIME and SHAP tools enhance model transparency and decision-making insights. Explore the importance of explainability and interpretability in building trust in AI systems.

Mar 19, 2021 · In this paper, we review this line of research and try to make a comprehensive survey. Specifically, we first introduce and clarify two basic concepts -- interpretations and interpretability -- that people usually get confused about.

-Interpretability is the ability to understand the overall consequences of the model and ensuring the things we predict are accurate knowledge aligned with our initial research goal.

To present or conceptualize the meaning of by means of art or criticism: The actor interpreted the character with great subtlety. 4. To translate from one language into another: interpreted the ambassador's remarks for the assembly. To serve as an …