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Natural Language Generation Challenges for Explainable AI
November 20, 2019 ยท Declared Dead ยท ๐ Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Ehud Reiter
arXiv ID
1911.08794
Category
cs.CL: Computation & Language
Citations
41
Venue
Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence
Last Checked
4 months ago
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.
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