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
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Explainable Artificial Intelligence in education
Computers and Education: Artificial Intelligence, 2022 There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms.
Hassan Khosravi +9 more
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Representing First-Order Causal Theories by Logic Programs [PDF]
, 2011 Nonmonotonic causal logic, introduced by Norman McCain and Hudson Turner, became a basis for the semantics of several expressive action languages. McCain's embedding of definite propositional causal theories into logic programming paved the way to the ...
Armando +18 more
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A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Informatics in Medicine Unlocked, 2022 Several Artificial Intelligence-based models have been developed for COVID-19 disease diagnosis. In spite of the promise of artificial intelligence, there are very few models which bridge the gap between traditional human-centered diagnosis and the ...
Mehrdad Rostami, Mourad Oussalah
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EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models
IEEE Access, 2023 The expansion of explainable artificial intelligence as a field of research has generated numerous methods of visualizing and understanding the black box of a machine learning model.
Ian E. Nielsen +4 more
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A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems [PDF]
, 2019 We propose a set of compositional design patterns to describe a large variety of systems that combine statistical techniques from machine learning with symbolic techniques from knowledge representation.
Teije, Annette ten, van Harmelen, Frank
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Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease
Diagnostics, 2022 This study reviews the recent progress of explainable artificial intelligence for the early diagnosis of gastrointestinal disease (GID). The source of data was eight original studies in PubMed.
Kwang-Sig Lee, Eun Sun Kim
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A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation
, 2020 Traditionally, abnormal heart sound classification is framed as a three-stage process. The first stage involves segmenting the phonocardiogram to detect fundamental heart sounds; after which features are extracted and classification is performed.
Denman, Simon +5 more
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Research Progress of Interpretable Artificial Intelligence [PDF]
Jisuanji gongchengArtificial intelligence has made remarkable progress across many fields, encouraging countries to attach great importance to its research and development.
LIAO Yong, HAN Xiaojin, LIU Jinlin, WANG Hao
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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
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