Interpretability In Ai And Why Does It Matter
The extent to which a human can understand the cause of a decision made by an AI model.
Areas of application
- Trust and compliance with regulations
- Diagnosing and improving model performance
- Healthcare
- Finance
Example
A machine learning model used in healthcare to predict patient outcomes, with interpretability features that allow doctors to understand how the model arrived at its decisions.