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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 ...
Mayuresh Pardeshi, Ruey-Kai Sheu
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
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
npj Digital MedicineThe rapid growth of clinical explainable AI (XAI) models raised concerns over unclear purposes and false hope regarding explanations. Currently, no standardised metrics exist for XAI evaluation.
Aida Brankovic +8 more
doaj +2 more sources
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
SteadfastAsArt/XAI-HDiff: Open Science
, 2023 Full Changelog: https://github.com/SteadfastAsArt/XAI-HDiff/commits/v1.0.
SteadfastAsArt
core +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
RGU-Computing/DisCERN-XAI: 0.0.27
, 2023 Full Changelog: https://github.com/RGU-Computing/DisCERN-XAI/commits/0.0 ...
Chamath Palihawadana, Anjana Wijekoon
core +1 more source
EVALUATION OF LATTICE BASED XAI [PDF]
ICTACT Journal on Soft Computing, 2023 With multiple methods to extract explanations from a black box model, it becomes significant to evaluate the correctness of these Explainable AI (XAI) techniques themselves.
Bhaskaran Venkatsubramaniam +1 more
doaj +1 more source