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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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Explainable AI needs formalization [PDF]
npj Artificial IntelligenceThe field of “explainable artificial intelligence” (XAI) seemingly addresses the desire that decisions of machine learning systems should be human-understandable. However, in its current state, XAI itself needs scrutiny.
Stefan Haufe +6 more
doaj +2 more sources
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 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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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
doaj +1 more source
A Review of Trustworthy and Explainable Artificial Intelligence (XAI)
IEEE Access, 2023 The advancement of Artificial Intelligence (AI) technology has accelerated the development of several systems that are elicited from it. This boom has made the systems vulnerable to security attacks and allows considerable bias in order to handle errors ...
Vinay Chamola +5 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
doaj +1 more source
npj Digital Medicine, 2023 White light endoscopy is the most pivotal tool for detecting early gastric neoplasms. Previous artificial intelligence (AI) systems were primarily unexplainable, affecting their clinical credibility and acceptability.
Zehua Dong +20 more
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Explainable AI: A Neurally-Inspired Decision Stack Framework
Biomimetics, 2022 European law now requires AI to be explainable in the context of adverse decisions affecting the European Union (EU) citizens. At the same time, we expect increasing instances of AI failure as it operates on imperfect data.
Muhammad Salar Khan +5 more
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