Interpretability - Wikipedia In mathematical logic, interpretability is a relation between formal theories that expresses the possibility of interpreting or translating one into the other Assume T and S are formal theories
What is AI interpretability? - IBM AI interpretability is the ability to understand and explain the decision-making processes that power artificial intelligence models
Interpretability Research \ Anthropic Interpretability The mission of the Interpretability team is to discover and understand how large language models work internally, as a foundation for AI safety and positive outcomes
What is Interpretability - Interpretable AI Learn how an algorithm is deemed to be interpretable, and how it is different to being explainable What does it mean to be interpretable? Models are interpretable when humans can readily understand the reasoning behind predictions and decisions made by the model
Interpretability vs. explainability in AI and machine . . . 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 understand
What is Interpretability? - PMC Lipton (2018) says of interpretability that it “reflects several distinct concepts,” which is to say that it is used inconsistently, or at best equivocally