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 …
[HTML][HTML] Evaluating XAI: A comparison of rule-based and example-based explanations
Abstract Current developments in Artificial Intelligence (AI) led to a resurgence of
Explainable AI (XAI). New methods are being researched to obtain information from AI …
Explainable AI (XAI). New methods are being researched to obtain information from AI …
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 …
Explanations as mechanisms for supporting algorithmic transparency
Transparency can empower users to make informed choices about how they use an
algorithmic decision-making system and judge its potential consequences. However …
algorithmic decision-making system and judge its potential consequences. However …
A survey on personality-aware recommendation systems
With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …
intelligence and personality psychology, we have witnessed an unprecedented proliferation …
[HTML][HTML] 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 …
Personalized explanations for hybrid recommender systems
Recommender systems have become pervasive on the web, shaping the way users see
information and thus the decisions they make. As these systems get more complex, there is …
information and thus the decisions they make. As these systems get more complex, there is …
Recommender systems for large-scale social networks: A review of challenges and solutions
Social networks have become very important for networking, communications, and content
sharing. Social networking applications generate a huge amount of data on a daily basis …
sharing. Social networking applications generate a huge amount of data on a daily basis …