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 …
strategy of decision-making in different life domains. Regardless of this achievement, AI …
Recent advances in trustworthy explainable artificial intelligence: Status, challenges, and perspectives
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 …
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
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 …
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
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 …
which could benefit creativity in visual art creation and self-expression. However, it is …
Designing theory-driven user-centric explainable AI
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 …
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
The need for interpretable and accountable intelligent systems grows along with the
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable AI …
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable AI …
How do visual explanations foster end users' appropriate trust in machine learning?
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 …
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
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 …
popularity over the last decade led to the emergence of the eXplainable Artificial Intelligence …
Explainable artificial intelligence for tabular data: A survey
Machine learning techniques are increasingly gaining attention due to their widespread use
in various disciplines across academia and industry. Despite their tremendous success …
in various disciplines across academia and industry. Despite their tremendous success …
Xair: A framework of explainable ai in augmented reality
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 …
interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives …