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  1. What is AI interpretability? - IBM

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

  2. Mechanistic interpretability: 10 Breakthrough Technologies 2026

    Jan 12, 2026 · Artificial intelligence Mechanistic interpretability New techniques are giving researchers a glimpse at the inner workings of AI models.

  3. Explainability, Interpretability, and Human Oversight in AI: Study ...

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

  4. Model Interpretability in Deep Learning: A Comprehensive Overview

    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.

  5. Interpretability in Machine Learning: Definition and Techniques

    Aug 13, 2025 · Model interpretability is all about making a machine learning model’s decisions understandable to humans. Instead of being a black box where inputs go in and predictions come out …

  6. Neel Somani explains why interpretability must evolve ... - VentureBeat

    4 days ago · Why interpretability lags behind capability Interpretability has not kept pace with model size for structural reasons.

  7. Interpretability vs. explainability in AI and machine learning

    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 …

  8. Explainable vs. Interpretable Artificial Intelligence - Splunk

    Jul 23, 2024 · Interpretability is about how well a human can understand the internal mechanics of a machine learning system, while explainability is about how well the internal mechanics of a machine …

  9. A Guide to AI Interpretability - Americans for Responsible Innovation

    Aug 20, 2025 · To better understand their inner workings, two main approaches exist: mechanistic interpretability (precise but impractical) and representation interpretability (practical but imprecise).

  10. On the definition and importance of interpretability in scientific ...

    May 28, 2025 · While interpretability may seem like a common-sense term, we will show that it can have different meanings in different contexts and that it plays a specific role in the progress of science.