Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Information Fusion(2020)

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摘要
•We review concepts related to the explainability of AI methods (XAI).•We comprehensive analyze the XAI literature organized in two taxonomies.•We identify future research directions of the XAI field.•We discuss potential implications of XAI and privacy in data fusion contexts.•We identify Responsible AI as a concept promoting XAI and other AI principles in practical settings.
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关键词
Explainable Artificial Intelligence,Machine Learning,Deep Learning,Data Fusion,Interpretability,Comprehensibility,Transparency,Privacy,Fairness,Accountability,Responsible Artificial Intelligence
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