Explainable artificial intelligence: an analytical review
This paper provides a brief analytical review of the current state‐of‐the‐art in relation to the
explainability of artificial intelligence in the context of recent advances in machine learning …
explainability of artificial intelligence in the context of recent advances in machine learning …
[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 …
Explainability fact sheets: a framework for systematic assessment of explainable approaches
Explanations in Machine Learning come in many forms, but a consensus regarding their
desired properties is yet to emerge. In this paper we introduce a taxonomy and a set of …
desired properties is yet to emerge. In this paper we introduce a taxonomy and a set of …
Principles and practice of explainable machine learning
V Belle, I Papantonis - Frontiers in big Data, 2021 - frontiersin.org
Artificial intelligence (AI) provides many opportunities to improve private and public life.
Discovering patterns and structures in large troves of data in an automated manner is a core …
Discovering patterns and structures in large troves of data in an automated manner is a core …
Survey on explainable AI: From approaches, limitations and applications aspects
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …
and has greatly benefited our lives. While AI can accurately extract critical features and …
Explainable artificial intelligence: objectives, stakeholders, and future research opportunities
Artificial Intelligence (AI) has diffused into many areas of our private and professional life. In
this research note, we describe exemplary risks of black-box AI, the consequent need for …
this research note, we describe exemplary risks of black-box AI, the consequent need for …
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
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 …
[HTML][HTML] Notions of explainability and evaluation approaches for explainable artificial intelligence
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 …
the last few years. This is due to the widespread application of machine learning, particularly …
A systematic review of explainable artificial intelligence in terms of different application domains and tasks
Artificial intelligence (AI) and machine learning (ML) have recently been radically improved
and are now being employed in almost every application domain to develop automated or …
and are now being employed in almost every application domain to develop automated or …
Agent-based explanations in AI: Towards an abstract framework
Abstract Recently, the eXplainable AI (XAI) research community has focused on developing
methods making Machine Learning (ML) predictors more interpretable and explainable …
methods making Machine Learning (ML) predictors more interpretable and explainable …