Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …
attention in recent years, aiming to provide interpretability and confidence to the inner …
Explainable artificial intelligence applications in cyber security: State-of-the-art in research
This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
Faithful chain-of-thought reasoning
While Chain-of-Thought (CoT) prompting boosts Language Models'(LM) performance on a
gamut of complex reasoning tasks, the generated reasoning chain does not necessarily …
gamut of complex reasoning tasks, the generated reasoning chain does not necessarily …
The role of explainable AI in the context of the AI Act
The proposed EU regulation for Artificial Intelligence (AI), the AI Act, has sparked some
debate about the role of explainable AI (XAI) in high-risk AI systems. Some argue that black …
debate about the role of explainable AI (XAI) in high-risk AI systems. Some argue that black …
[HTML][HTML] The false hope of current approaches to explainable artificial intelligence in health care
The black-box nature of current artificial intelligence (AI) has caused some to question
whether AI must be explainable to be used in high-stakes scenarios such as medicine. It has …
whether AI must be explainable to be used in high-stakes scenarios such as medicine. It has …
[HTML][HTML] Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
The past decade has seen significant progress in artificial intelligence (AI), which has
resulted in algorithms being adopted for resolving a variety of problems. However, this …
resulted in algorithms being adopted for resolving a variety of problems. However, this …
Artificial intelligence for predictive maintenance applications: key components, trustworthiness, and future trends
Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …
the components in a real system has been destroyed, and some anomalies appear so that …
Black-box access is insufficient for rigorous ai audits
External audits of AI systems are increasingly recognized as a key mechanism for AI
governance. The effectiveness of an audit, however, depends on the degree of access …
governance. The effectiveness of an audit, however, depends on the degree of access …
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 …
Toward transparent ai: A survey on interpreting the inner structures of deep neural networks
The last decade of machine learning has seen drastic increases in scale and capabilities.
Deep neural networks (DNNs) are increasingly being deployed in the real world. However …
Deep neural networks (DNNs) are increasingly being deployed in the real world. However …