A historical perspective of explainable Artificial Intelligence-Reference-Cited by-同舟云学术

A historical perspective of explainable Artificial Intelligence

Published:2020-10-19 Issue:1 Volume:11 Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Confalonieri Roberto¹^ORCID,Coba Ludovik¹,Wagner Benedikt²,Besold Tarek R.³^ORCID

Affiliation:

1. Faculty of Computer Science Free University of Bozen‐Bolzano Bozen‐Bolzano Italy

2. Research Centre for Machine Learning City University London UK

3. Neurocat GmbH Berlin Germany

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1391

Reference106 articles.

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2. Survey and critique of techniques for extracting rules from trained artificial neural networks

3. Apley D. W. &Zhu J.(2016).Visualizing the effects of predictor variables in black box supervised learning models.CoRR abs/1612.08468.

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

5. Balog K. &Radlinski F.(2020).Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. Proceedings of the 43rd International ACM Sigir Conference on Research and Development in Information Retrieval.

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