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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
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
exaly +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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.
doaj +1 more source
Ecology and Society, 2019 Indigenous marine governance is increasingly recognized as having a crucial role in marine management and conservation, yet most examples are from the tropical Pacific and Oceania.
Natalie Ban, Emma Wilson, Doug Neasloss
doaj +1 more source
Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Complex datasets hold a special place among engineers as the engineering community seeks to solve some of the world’s most difficult problems, but with complexity, comes difficulty in analysis and interpretation.
Brandon Hines +2 more
doaj +1 more source
COMPARATIVE STUDY OF XAI USING FORMAL CONCEPT LATTICE AND LIME
ICTACT Journal on Soft Computing, 2022 Local Interpretable Model Agnostic Explanation (LIME) is a technique to explain a black box machine learning model using a surrogate model approach.
Bhaskaran Venkatsubramaniam +1 more
doaj +1 more source