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 …

[HTML][HTML] Evaluating XAI: A comparison of rule-based and example-based explanations

J van der Waa, E Nieuwburg, A Cremers, M Neerincx - Artificial intelligence, 2021 - Elsevier
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 …

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 …

Explanations as mechanisms for supporting algorithmic transparency

E Rader, K Cotter, J Cho - Proceedings of the 2018 CHI conference on …, 2018 - dl.acm.org
Transparency can empower users to make informed choices about how they use an
algorithmic decision-making system and judge its potential consequences. However …

A survey on personality-aware recommendation systems

S Dhelim, N Aung, MA Bouras, H Ning… - Artificial Intelligence …, 2022 - Springer
With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …

[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 …

Personalized explanations for hybrid recommender systems

P Kouki, J Schaffer, J Pujara, J O'Donovan… - Proceedings of the 24th …, 2019 - dl.acm.org
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 …

Recommender systems for large-scale social networks: A review of challenges and solutions

M Eirinaki, J Gao, I Varlamis, K Tserpes - Future generation computer …, 2018 - Elsevier
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 …