Results 11 to 20 of about 35,242 (295)
Communications of the ACM, 2022 Schmid U, Wrede B. Explainable AI. KI - Künstliche Intelligenz.
Wrede, Britta ; https://orcid.org/ +1 more
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Informatik-Spektrum, 2018 ,,Explainable AI“ ist kein neues Gebiet. Vielmehr ist das Problem der Erklärbarkeit so alt wie die AI selbst, ja vielmehr das Resultat ihrer selbst. Während regelbasierte Lösungen der frühen AI nachvollziehbare ,,Glass-Box“-Ansätze darstellten, lag deren
Holzinger, Andreas, Andreas Holzinger
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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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, 2020 An aspect of User friendly AI involves explanation and better transparency of AI. Explainable AI(XAI) is an emerging area of research dedicated to explain and elucidate AI systems.
Panda, Swaroop, Roy, Shatarupa Thakurta
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Explainable AI improves task performance in human–AI collaboration
Scientific ReportsArtificial intelligence (AI) provides considerable opportunities to assist human work. However, one crucial challenge of human–AI collaboration is that many AI algorithms operate in a black-box manner where the way how the AI makes predictions remains ...
Julian Senoner +4 more
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xxAI - Beyond Explainable AI [PDF]
, 2022 This is an open access book. Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become ...
Fong, Ruth, Ed. +6 more
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Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI
CoRR, 2021 Many ML models are opaque to humans, producing decisions too complex for humans to easily understand. In response, explainable artificial intelligence (XAI) tools that analyze the inner workings of a model have been created. Despite these tools' strength in translating model behavior, critiques have raised concerns about the impact of XAI tools as a ...
Kiana Alikhademi +3 more
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From ”Explainable AI” to ”Graspable AI”
Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction, 2021 Since the advent of Artificial Intelligence (AI) and Machine Learning (ML), researchers have asked how intelligent computing systems could interact with and relate to their users and their surroundings, leading to debates around issues of biased AI systems, ML black-box, user trust, user’s perception of control over the system, and system’s ...
Maliheh Ghajargar +7 more
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Designing and Evaluating User Experience of an AI-Based Defense System
IEEE Access, 2023 In recent years, artificial intelligence (AI) has been applied in various fields, with rapid expansion of the scope of AI-human interactions. However, most AI technologies continue to exhibit black-box characteristics, i.e., their decisions and actions ...
Sunyoung Park +3 more
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xxAI - Beyond Explainable Artificial Intelligence
, 2022 310The success of statistical machine learning from big data, especially of deep learning, has made artificial intelligence (AI) very popular. Unfortunately, especially with the most successful methods, the results are very difficult to comprehend by ...
Moon, T. +5 more
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