Argumentation and Logic Programming for Explainable and Ethical AI

Last modified by Andrea Omicini on 27/11/2020 13:53

Andrea Omicini, Giovanni Sartor, Roberta Calegari

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 to address some ethical concerns about AI. 2020
Torino, 25/11/2020


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