interpretability Definition
the degree to which a human can understand the cause of a decision made by an artificial intelligence system.
Using interpretability: Examples
Take a moment to familiarize yourself with how "interpretability" can be used in various situations through the following examples!
Example
The interpretability of the AI model is crucial for its acceptance in the medical field.
Example
The lack of interpretability in the system's decision-making process raised concerns among the users.
Example
Interpretability is a key factor in building trustworthy and ethical AI systems.
interpretability Synonyms and Antonyms
Synonyms for interpretability
Phrases with interpretability
a method of interpreting the decision-making process of an AI system without understanding its internal workings
Example
Black box interpretability techniques are used when the AI system is too complex to be understood by humans.
the ability of an AI model to provide explanations for its decisions
Example
Model interpretability is important in domains such as healthcare, where the decisions made by the AI model can have significant consequences.
the ability to understand the overall behavior of an AI system
Example
Global interpretability is important in domains such as finance, where the behavior of the AI system can affect the entire market.
Summary: interpretability in Brief
The term 'interpretability' [ɪnˌtɜː.prɪ.təˈbɪl.ə.ti] refers to the degree to which a human can understand the cause of a decision made by an artificial intelligence system. It is crucial for building trustworthy and ethical AI systems, and spans contexts from healthcare to finance. Interpretability can be achieved through techniques like black box interpretability, model interpretability, and global interpretability.
