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• W3164656161 abstract "In this paper we sketch a vision of explainability of intelligent systems as a logic approach suitable to be injected into and exploited by the system actors once integrated with sub-symbolic techniques.In particular, we show how argumentation could be combined with different extensions of logic programming – namely, abduction, inductive logic programming, and probabilistic logic programming – to address the issues of explainable AI as well as some ethical concerns about AI." @default.
• W3164656161 created "2021-06-07" @default.
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• W3164656161 date "2021-01-01" @default.
• W3164656161 modified "2023-09-23" @default.
• W3164656161 title "Explainable and Ethical AI: A Perspective on Argumentation and Logic Programming" @default.
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• W3164656161 doi "https://doi.org/10.1007/978-3-030-77091-4_2" @default.
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