Natural Language Generation Challenges for Explainable AI
Ehud Reiter · 2019
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.