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ISPRS International Journal of Geo-Information, 2023 Explainable Artificial Intelligence (XAI) has the potential to open up black-box machine learning models. XAI can be used to optimize machine learning models, to search for scientific findings, or to improve the understandability of the AI system for the
Cédric Roussel, Klaus Böhm
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Factors influencing male involvement in maternal and child health care from the health center of Xai-Xai city, Mozambique: a cross-sectional qualitative study [PDF]
Frontiers in Reproductive HealthIntroductionMale participation in maternal and child healthcare (MCH) is essential for improving health outcomes for women and children. Despite evidence that male involvement enhances adherence to medical recommendations and reduces maternal and infant ...
Maudy Simão Muchanga +11 more
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Sensors, 2022 The emerging field of eXplainable AI (XAI) in the medical domain is considered to be of utmost importance. Meanwhile, incorporating explanations in the medical domain with respect to legal and ethical AI is necessary to understand detailed decisions ...
Ruey-Kai Sheu, Mayuresh Sunil Pardeshi
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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
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Argumentative XAI: A Survey [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 Explainable AI (XAI) has been investigated for decades and, together with AI itself, has witnessed unprecedented growth in recent years. Among various approaches to XAI, argumentative models have been advocated in both the AI and social science literature, as their dialectical nature appears to match some basic desirable features of the explanation ...
Čyras, Kristijonas +4 more
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A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence
Machine Learning and Knowledge Extraction, 2021 The rapid growth of research in explainable artificial intelligence (XAI) follows on two substantial developments. First, the enormous application success of modern machine learning methods, especially deep and reinforcement learning, have created high ...
Mi-Young Kim +10 more
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Информатика и автоматизация, 2023 Нейросетевой подход к ИИ, получивший особенно широкое распространение в последнее десятилетие, обладает двумя существенными ограничениями – обучение моделей, как правило, требует очень большого количества образцов (не всегда доступных), а получающиеся ...
Nikolay Shilov +2 more
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Judicial Decision-Making and Explainable AI (XAI) – Insights from the Japanese Judicial System
Studia Iuridica Lublinensia, 2023 The recent development of artificial intelligence (AI) in information technology (IT) is remarkable. These developments have led to claims that AI can be used in courts to replace judges.
Yachiko Yamada
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An Overview on the Explainability of Cyber-Physical Systems
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 The prevalence of automating complex physical processes through learning and interactions among heterogeneous components adds to the increasing complexity of Cyber-Physical Systems (CPS) and their behavior.
Sanjiv Subodhnarayan Jha
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Journal of Intelligent Systems, 2023 In 2019, lung disease severely affected human health and was later renamed coronavirus disease 2019 (COVID-2019). Since then, several research methods have been proposed, such as reverse transcription polymerase chain reaction (RT-PCR), and disease ...
Koyyada Shiva Prasad, Singh Thipendra P.
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