Research Area:  Machine Learning

Abstract:

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

Publisher name:  arXiv:1911.08794

DOI:  

Volume Information:  

Paper Link:   https://arxiv.org/abs/1911.08794