Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey

W Ding, M Abdel-Basset, H Hawash, AM Ali - Information Sciences, 2022 - Elsevier
The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …

Recent advances in trustworthy explainable artificial intelligence: Status, challenges, and perspectives

A Rawal, J McCoy, DB Rawat… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Artificial intelligence (AI) and machine learning (ML) have come a long way from the earlier
days of conceptual theories, to being an integral part of today's technological society. Rapid …

[HTML][HTML] Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

S Ali, T Abuhmed, S El-Sappagh, K Muhammad… - Information fusion, 2023 - Elsevier
Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

Reprompt: Automatic prompt editing to refine ai-generative art towards precise expressions

Y Wang, S Shen, BY Lim - Proceedings of the 2023 CHI conference on …, 2023 - dl.acm.org
Generative AI models have shown impressive ability to produce images with text prompts,
which could benefit creativity in visual art creation and self-expression. However, it is …

Designing theory-driven user-centric explainable AI

D Wang, Q Yang, A Abdul, BY Lim - … of the 2019 CHI conference on …, 2019 - dl.acm.org
From healthcare to criminal justice, artificial intelligence (AI) is increasingly supporting high-
consequence human decisions. This has spurred the field of explainable AI (XAI). This …

A multidisciplinary survey and framework for design and evaluation of explainable AI systems

S Mohseni, N Zarei, ED Ragan - ACM Transactions on Interactive …, 2021 - dl.acm.org
The need for interpretable and accountable intelligent systems grows along with the
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable AI …

How do visual explanations foster end users' appropriate trust in machine learning?

F Yang, Z Huang, J Scholtz, DL Arendt - Proceedings of the 25th …, 2020 - dl.acm.org
We investigated the effects of example-based explanations for a machine learning classifier
on end users' appropriate trust. We explored the effects of spatial layout and visual …

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 …

Explainable artificial intelligence for tabular data: A survey

M Sahakyan, Z Aung, T Rahwan - IEEE access, 2021 - ieeexplore.ieee.org
Machine learning techniques are increasingly gaining attention due to their widespread use
in various disciplines across academia and industry. Despite their tremendous success …

Xair: A framework of explainable ai in augmented reality

X Xu, A Yu, TR Jonker, K Todi, F Lu, X Qian… - Proceedings of the …, 2023 - dl.acm.org
Explainable AI (XAI) has established itself as an important component of AI-driven
interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives …