Exploring Explainable Artificial Intelligence for Transparent Decision Making [PDF]
E3S Web of Conferences, 2023 Artificial intelligence (AI) has become a potent tool in many fields, allowing complicated tasks to be completed with astounding effectiveness. However, as AI systems get more complex, worries about their interpretability and transparency have become ...
Praveenraj D. David Winster +6 more
doaj +1 more source
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions [PDF]
Information Fusion, 2023 As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount.
Longo Luca +18 more
semanticscholar +1 more source
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis [PDF]
Medical Image Anal., 2021 With an increase in deep learning-based methods, the call for explainability of such methods grows, especially in high-stakes decision making areas such as medical image analysis.
Bas H. M. van der Velden +3 more
semanticscholar +1 more source
Cogent Engineering, 2023 Stroke presents a formidable global health threat, carrying significant risks and challenges. Timely intervention and improved outcomes hinge on the integration of Explainable Artificial Intelligence (XAI) into medical decision-making.
Daraje Kaba Gurmessa, Worku Jimma
doaj +1 more source
Reviewing the Need for Explainable Artificial Intelligence (xAI) [PDF]
, 2021 The diffusion of artificial intelligence (AI) applications in organizations and society has fueled research on explaining AI decisions. The explainable AI (xAI) field is rapidly expanding with numerous ways of extracting information and visualizing the ...
Ioanna Constantiou +5 more
core +1 more source
Unlocking the Potential of Explainable Artificial Intelligence in Remote Sensing Big Data
Remote Sensing, 2023 In the ever-evolving landscape of artificial intelligence and big data, the concept of explainable artificial intelligence (XAI) [...]
Peng Liu, Lizhe Wang, Jun Li
doaj +1 more source
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
IEEE Access, 2022 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 Internet-connected systems and Artificial Intelligence in recent years,
Zhibo Zhang +4 more
doaj +1 more source
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI [PDF]
Information Fusion, 2019 In the last years, Artificial Intelligence (AI) has achieved a notable momentum that may deliver the best of expectations over many application sectors across the field.
Alejandro Barredo Arrieta +11 more
semanticscholar +1 more source
Security-based explainable artificial intelligence (XAI) in healthcare system
, 2022 Explainable Artificial Intelligence (XAI) is one of the most advanced research areas of Artificial Intelligence (AI). To explain the deep learning (DL) model is the main objective of XAI. It deals with artificial models which are understandable to humans,
Din, Alloud +2 more
core +2 more sources