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XAI-Explainable artificial intelligence [PDF]
Science Robotics, 2019 Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence ...
Choi, J. +5 more
core +7 more sources
eXplainable Artificial Intelligence (XAI) for improving organisational regility [PDF]
PLoS ONESince the pandemic started, organisations have been actively seeking ways to improve their organisational agility and resilience (regility) and turn to Artificial Intelligence (AI) to gain a deeper understanding and further enhance their agility and regility. Organisations are turning to AI as a critical enabler to achieve these goals.
Niusha Shafiabady +5 more
doaj +6 more sources
Explainable Artificial Intelligence (XAI) in Insurance
Risks, 2022 Explainable Artificial Intelligence (XAI) models allow for a more transparent and understandable relationship between humans and machines. The insurance industry represents a fundamental opportunity to demonstrate the potential of XAI, with the industry ...
Emer Owens +5 more
doaj +2 more sources
Editorial: Explainable Artificial Intelligence (XAI) in Systems Neuroscience. [PDF]
Front Syst Neurosci, 2021 In the last 10 years, we have experienced exceptional growth in the development of machine-learning-based (ML) algorithms for the analysis of different medical conditions and for developing clinical decision support systems. In particular, the availability of large datasets and the increasing complexity of both hardware and software systems have ...
Lombardi A, Tavares JMRS, Tangaro S.
europepmc +6 more sources
The Pragmatic Turn in Explainable Artificial Intelligence (XAI) [PDF]
Minds and Machines, 2019 In this paper I argue that the search for explainable models and interpretable decisions in AI must be reformulated in terms of the broader project of offering a pragmatic and naturalistic account of understanding in AI.
Páez, Andrés
core +5 more sources
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
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 Recently, artificial intelligence and machine learning in general have demonstrated remarkable performances in many tasks, from image processing to natural language processing, especially with the advent of deep learning. Along with research progress, they have encroached upon many different fields and disciplines.
Erico Tjoa, Cuntai Guan
openaire +4 more sources
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
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