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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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Demystifying XAI: Requirements for Understandable XAI Explanations [PDF]
This paper establishes requirements for assessing the usability of Explainable Artificial Intelligence (XAI) methods, focusing on non-AI experts like healthcare professionals. Through a synthesis of literature and empirical findings, it emphasizes achieving optimal cognitive load, task performance, and task time in XAI explanations.
Jan Stodt, Christoph Reich, Martin Knahl
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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
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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
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SteadfastAsArt/XAI-HDiff: Open Science
, 2023 Full Changelog: https://github.com/SteadfastAsArt/XAI-HDiff/commits/v1.0.
SteadfastAsArt
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XAI-KG: Knowledge Graph to Support XAI and Decision-Making in Manufacturing [PDF]
, 2021 The increasing adoption of artificial intelligence requires accurate forecasts and means to understand the reasoning of artificial intelligence models behind such a forecast. Explainable Artificial Intelligence (XAI) aims to provide cues for why a model issued a certain prediction.
Jože M. Rožanec +5 more
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RGU-Computing/DisCERN-XAI: 0.0.27
, 2023 Full Changelog: https://github.com/RGU-Computing/DisCERN-XAI/commits/0.0 ...
Chamath Palihawadana, Anjana Wijekoon
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, 2023 Full Changelog: https://github.com/tchanda90/Derma-XAI/commits ...
Tirtha Chanda
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XAI for Predictive Maintenance
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023 The field of Explainable Predictive Maintenance (PM) is concerned with developing methods that can clarify how AI systems operate in the PM domain. One of the challenges of creating maintenance plans is integrating AI output with human decision-making pro- cesses and expertise.
Gama, Joao +5 more
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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
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