Trustworthy artificial intelligence: a review

D Kaur, S Uslu, KJ Rittichier, A Durresi - ACM computing surveys (CSUR …, 2022 - dl.acm.org
Artificial intelligence (AI) and algorithmic decision making are having a profound impact on
our daily lives. These systems are vastly used in different high-stakes applications like …

[HTML][HTML] Notions of explainability and evaluation approaches for explainable artificial intelligence

G Vilone, L Longo - Information Fusion, 2021 - Elsevier
Abstract Explainable Artificial Intelligence (XAI) has experienced a significant growth over
the last few years. This is due to the widespread application of machine learning, particularly …

[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 …

Formalizing trust in artificial intelligence: Prerequisites, causes and goals of human trust in AI

A Jacovi, A Marasović, T Miller… - Proceedings of the 2021 …, 2021 - dl.acm.org
Trust is a central component of the interaction between people and AI, in that'incorrect'levels
of trust may cause misuse, abuse or disuse of the technology. But what, precisely, is the …

Explainable artificial intelligence: a systematic review

G Vilone, L Longo - arXiv preprint arXiv:2006.00093, 2020 - arxiv.org
Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few
years. This is due to the widespread application of machine learning, particularly deep …

A historical perspective of explainable Artificial Intelligence

R Confalonieri, L Coba, B Wagner… - … Reviews: Data Mining …, 2021 - Wiley Online Library
Abstract Explainability in Artificial Intelligence (AI) has been revived as a topic of active
research by the need of conveying safety and trust to users in the “how” and “why” of …

Sociotechnical envelopment of artificial intelligence: An approach to organizational deployment of inscrutable artificial intelligence systems

A Asatiani, P Malo, PR Nagbøl, E Penttinen… - Journal of the …, 2021 - research.aalto.fi
The paper presents an approach for implementing inscrutable (ie, nonexplainable) artificial
intelligence (AI) such as neural networks in an accountable and safe manner in …

[HTML][HTML] Human-centered XAI: Developing design patterns for explanations of clinical decision support systems

TAJ Schoonderwoerd, W Jorritsma, MA Neerincx… - International Journal of …, 2021 - Elsevier
Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing
transparency of machine learning models. More recently, the focus on human-centered …

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 …

A survey on XAI and natural language explanations

E Cambria, L Malandri, F Mercorio… - Information Processing …, 2023 - Elsevier
The field of explainable artificial intelligence (XAI) is gaining increasing importance in recent
years. As a consequence, several surveys have been published to explore the current state …