[HTML][HTML] Survey on explainable AI: From approaches, limitations and applications aspects

W Yang, Y Wei, H Wei, Y Chen, G Huang, X Li… - Human-Centric …, 2023 - Springer
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …

Explainable artificial intelligence: a comprehensive review

D Minh, HX Wang, YF Li, TN Nguyen - Artificial Intelligence Review, 2022 - Springer
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …

Introduction to explainable AI

QV Liao, M Singh, Y Zhang, R Bellamy - … of the 2021 CHI conference on …, 2021 - dl.acm.org
As Artificial Intelligence technologies are increasingly used to make important decisions and
perform autonomous tasks, providing explanations to allow users and stakeholders to …

How cognitive biases affect XAI-assisted decision-making: A systematic review

A Bertrand, R Belloum, JR Eagan… - Proceedings of the 2022 …, 2022 - dl.acm.org
The field of eXplainable Artificial Intelligence (XAI) aims to bring transparency to complex AI
systems. Although it is usually considered an essentially technical field, effort has been …

Principles of explainable artificial intelligence

R Guidotti, A Monreale, D Pedreschi… - Explainable AI Within the …, 2021 - Springer
The last decade has witnessed the rise of a black box society where obscure classification
models are adopted by Artificial Intelligence systems (AI). The lack of explanations of how AI …

A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications

D Tchuente, J Lonlac, B Kamsu-Foguem - Computers in Industry, 2024 - Elsevier
Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society.
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …

A review of taxonomies of explainable artificial intelligence (XAI) methods

T Speith - Proceedings of the 2022 ACM conference on fairness …, 2022 - dl.acm.org
The recent surge in publications related to explainable artificial intelligence (XAI) has led to
an almost insurmountable wall if one wants to get started or stay up to date with XAI. For this …

[HTML][HTML] XAI systems evaluation: A review of human and computer-centred methods

P Lopes, E Silva, C Braga, T Oliveira, L Rosado - Applied Sciences, 2022 - mdpi.com
The lack of transparency of powerful Machine Learning systems paired with their growth in
popularity over the last decade led to the emergence of the eXplainable Artificial Intelligence …

Reviewing the need for explainable artificial intelligence (xAI)

J Gerlings, A Shollo, I Constantiou - arXiv preprint arXiv:2012.01007, 2020 - arxiv.org
The diffusion of artificial intelligence (AI) applications in organizations and society has fueled
research on explaining AI decisions. The explainable AI (xAI) field is rapidly expanding with …

Effects of explanations in ai-assisted decision making: Principles and comparisons

X Wang, M Yin - ACM Transactions on Interactive Intelligent Systems, 2022 - dl.acm.org
Recent years have witnessed the growing literature in empirical evaluation of explainable AI
(XAI) methods. This study contributes to this ongoing conversation by presenting a …