Learn about the importance of interpretable in AI decision making and how it enables observers to understand the causes behind AI system outputs. Discover the key concepts of explainable AI.
Table of Contents
Question
_______________ is the degree to which an observer can understand the cause of a decision.
Answer
Interpretability
Explanation
An AI model is interpretable when the reasoning behind predictions and recommendations the model makes are understandable. An example of interpretability would be understanding that pressing the accelerator makes a car go faster, but not necessarily knowing how an engine works.
Interpretability is the degree to which an observer can understand the cause of a decision. This concept is crucial in the field of AI, as it relates to how well a person can comprehend the decision-making process of an AI system. High interpretability means that the factors leading to a decision by a model are clear and understandable to humans.
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