AI RESEARCH
On the Importance and Evaluation of Narrativity in Natural Language AI Explanations
arXiv CS.CL
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ArXi:2604.18311v1 Announce Type: new Explainable AI (XAI) aims to make the behaviour of machine learning models interpretable, yet many explanation methods remain difficult to understand. The integration of Natural Language Generation into XAI aims to deliver explanations in textual form, making them accessible to practitioners. Current approaches, however, largely yield static lists of feature importances. Although such explanations indicate what influences the prediction, they do not explain why the prediction occurs.