AI, Xai, Iml, Explainable Ai, Interpretability.
information in the data and ensuring its tradeoff with prediction quality is not compromised Reliability by ascertaining the impact of input variation on the model performance Causality through mappings of real-life unpredictability to predicted changes in the output Usability through the provision