Research Area:  Machine Learning
Good quality explanations of artificial intelligence (XAI) reasoning must be written (and evaluated) for an explanatory purpose, targeted towards their readers, have a good narrative and causal structure, and highlight where uncertainty and data quality affect the AI output. I discuss these challenges from a Natural Language Generation (NLG) perspective, and highlight four specific NLG for XAI research challenges.
Keywords:  
Natural Language Generation
Explainable Ai
Machine Learning
Deep Learning
Author(s) Name:  Ehud Reiter
Journal name:  Computer Science
Conferrence name:  
Publisher name:  arXiv:1911.08794
DOI:  
Volume Information:  
Paper Link:   https://arxiv.org/abs/1911.08794