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Explainable AI in healthcare: to explain, to predict, or to describe? [PDF]
Diagnostic and Prognostic ResearchExplainable Artificial Intelligence (AI) methods are designed to provide information about how AI-based models make predictions. In healthcare, there is a widespread expectation that these methods will provide relevant and accurate information about a ...
Alex Carriero +6 more
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Why we do need explainable AI for healthcare [PDF]
Diagnostic and Prognostic ResearchThe recent uptake in certified Artificial Intelligence (AI) tools for healthcare applications has renewed the debate around their adoption. Explainable AI, the sub-discipline promising to render AI devices more transparent and trustworthy, has also come ...
Giovanni Cinà +3 more
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Explainable AI: The new 42? [PDF]
, 2018 Explainable AI is not a new field. Since at least the early exploitation of C.S. Pierce’s abductive reasoning in expert systems of the 1980s, there were reasoning architectures to support an explanation function for complex AI systems, including ...
A Esteva +9 more
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Explainable AI and echo state networks calibrate trust in human machine interaction [PDF]
Scientific ReportsTrust in human-machine interaction is a critical factor for the performance of AI systems, but achieving it is still challenging because many AI models are considered black-box.
Sijia Hao +5 more
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How Explainable Really Is AI? Benchmarking Explainable AI
LogicsThis work contextualizes the possibility of deriving a unifying artificial intelligence framework by walking in the footsteps of General, Explainable, and Verified Artificial Intelligence (GEVAI): by considering explainability not only at the level of ...
Giacomo Bergami, Oliver Robert Fox
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Explainable artificial intelligence in emergency medicine: an overview [PDF]
Clinical and Experimental Emergency Medicine, 2023 Artificial intelligence (AI) and machine learning (ML) have potential to revolutionize emergency medical care by enhancing triage systems, improving diagnostic accuracy, refining prognostication, and optimizing various aspects of clinical care.
Yohei Okada +2 more
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Communications of the ACM, 2022 Opening the black box or Pandora's Box?
KC Santosh, Casey Wall
+7 more sources
How to Make AlphaGo’s Children Explainable
Philosophies, 2022 Under the rubric of understanding the problem of explainability of AI in terms of abductive cognition, I propose to review the lessons from AlphaGo and her more powerful successors.
Woosuk Park
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The false hope of current approaches to explainable artificial intelligence in health care
The Lancet: Digital Health, 2021 Summary: The black-box nature of current artificial intelligence (AI) has caused some to question whether AI must be explainable to be used in high-stakes scenarios such as medicine.
Marzyeh Ghassemi, PhD +2 more
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Review of Software Engineering Techniques and Methods Based on Explainable Artificial Intelligence [PDF]
Jisuanji kexue, 2023 In terms of information processing and decision-making,artificial intelligence(AI) methods have shown superior performance compared to traditional methods.However,when AI models are put into production,their output results are not guaranteed to be ...
XING Ying
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