Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI-Reference-Cited by-同舟云学术

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

Published:2020-06 Issue: Volume:58 Page:82-115
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Barredo Arrieta Alejandro,Díaz-Rodríguez Natalia,Del Ser Javier,Bennetot Adrien,Tabik Siham,Barbado Alberto,Garcia Salvador,Gil-Lopez Sergio,Molina Daniel,Benjamins Richard,Chatila Raja,Herrera Francisco

Funder

BBVA Foundation

Horizon 2020

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference426 articles.

1. Artificial intelligence: a modern approach;Russell,2016

2. The future of work: robots, AI, and automation;West,2018

3. European union regulations on algorithmic decision-making and a “right to explanation”;Goodman;AI Magazine,2017

4. Can we open the black box of AI?;Castelvecchi;Nature News,2016

5. The mythos of model interpretability;Lipton;Queue,2018

Cited by 4319 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network;Information Fusion;2025-01

2. Development of an equation to predict delta bilirubin levels using machine learning;Clinica Chimica Acta;2025-01

3. Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees;Information Fusion;2025-01

4. Integrating supervised and unsupervised learning approaches to unveil critical process inputs;Computers & Chemical Engineering;2025-01

5. Software bug prediction using graph neural networks and graph-based text representations;Expert Systems with Applications;2025-01