What question did this study set out to answer?

To review the state-of-the-art in explainable artificial intelligence within machine learning and deep learning, guided by foundational principles and taxonomies.

July 12, 2021Wiley Interdisciplinary Reviews Data Mining and Knowledge DiscoveryOpen Access

Explainable artificial intelligence: an analytical review

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To review the state-of-the-art in explainable artificial intelligence within machine learning and deep learning, guided by foundational principles and taxonomies.
Synthesized historical foundations and developed a taxonomy of explainability in machine learning and deep learning.
Formulated core explainability challenges utilizing the National Institute of Standards and Technology four principles of explainability.
Critically analyzed recently published methods addressing model interpretability and identified key research gaps.
Outlined fundamental limitations in existing deep learning methods regarding interpretability and adherence to explainability principles.
Categorized current explainability approaches to map unresolved technical challenges and outline prospective directions for future AI research.

Authors

PAPlamen AngelovNational Institute of Meteorology and Hydrology ESEduardo SoaresUniversidade Federal de Lavras RJRichard JiangUniversity of Insubria

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Implication

Analytical review synthesizes current explainable artificial intelligence methods across deep learning frameworks, highlighting core challenges and future technical research directions.

Cite This Study

Angelov et al. (2021) studied this question.

synapsesocial.com/papers/69dcb4edf72978188635923f https://doi.org/10.1002/widm.1424

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Implication

Analytical review synthesizes current explainable artificial intelligence methods across deep learning frameworks, highlighting core challenges and future technical research directions.

Explainable artificial intelligence: an analytical review

Key Points

Discussion

Implication

Cite This Study

Explainable artificial intelligence: an analytical review

Key Points

Discussion

Implication

Cite This Study

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