Feature Importance

A set of techniques that quantify the contribution of each input feature to a model's predictions, aiding in understanding model behaviour and identifying potential biases.

A ranking of which inputs matter most to the AI. For a house price predictor, feature importance might show that location matters 50%, size 30% and age 20%.

Feature importance analysis is a governance tool that helps identify whether AI models are relying on inappropriate or discriminatory inputs. Including feature importance reviews in your AI audit process supports fairness and transparency objectives.