Fairness

• explainability can be considered as the capacity to reach and guarantee fairness in ML models.
• an explainable ML model suggests a clear visualization of the relations affecting a result, allowing for a fairness or ethical analysis
• a related objective of XAI is highlighting bias in the data a model was exposed to