Explainable artificial intelligence applications in cyber security: State-of-the-art in research

Z Zhang, H Al Hamadi, E Damiani, CY Yeun… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques

M Nazar, MM Alam, E Yafi, MM Su'ud - IEEE Access, 2021 - ieeexplore.ieee.org
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …

[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 …

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 …

Blockchain-based digital twins: research trends, issues, and future challenges

S Suhail, R Hussain, R Jurdak, A Oracevic… - ACM Computing …, 2022 - dl.acm.org
Industrial processes rely on sensory data for decision-making processes, risk assessment,
and performance evaluation. Extracting actionable insights from the collected data calls for …

Trustworthy AI and robotics: Implications for the AEC industry

N Emaminejad, R Akhavian - Automation in Construction, 2022 - Elsevier
Human-technology interaction is concerned with trust as an inevitable user acceptance
requirement. As the applications of artificial intelligence (AI) and robotics emerge in the …

A systematic literature review on diabetic retinopathy using an artificial intelligence approach

P Bidwai, S Gite, K Pahuja, K Kotecha - Big Data and Cognitive …, 2022 - mdpi.com
Diabetic retinopathy occurs due to long-term diabetes with changing blood glucose levels
and has become the most common cause of vision loss worldwide. It has become a severe …

Behavior prediction of traffic actors for intelligent vehicle using artificial intelligence techniques: A review

S Kolekar, S Gite, B Pradhan, K Kotecha - IEEE Access, 2021 - ieeexplore.ieee.org
Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …

Artificial intelligence and statistics for quality technology: an introduction to the special issue

BM Colosimo, E del Castillo… - Journal of Quality …, 2021 - Taylor & Francis
In many applied and industrial settings, the use of Artificial Intelligence (AI) for quality
technology is gaining growing attention. AI refers to the broad set of techniques which …

[HTML][HTML] Do stakeholder needs differ?-Designing stakeholder-tailored Explainable Artificial Intelligence (XAI) interfaces

M Kim, S Kim, J Kim, TJ Song, Y Kim - International Journal of Human …, 2024 - Elsevier
Explainable AI (XAI) is increasingly being used in the healthcare domain. In health
management, clinicians and patients are critical stakeholders, requiring tailored XAI …