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Argumentation and Logic Programming for Explainable and Ethical AI
Cataldo Musto, Daniele Magazzeni, Salvatore Ruggieri, Giovanni Semeraro (eds.)
XAI.it 2020 – Italian Workshop on Explainable Artificial Intelligence 2020, pages 55–68
CEUR Workshop Proceedings (AI*IA Series) 2742
Sun SITE Central Europe, RWTH Aachen University
November 2020
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.
Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020)
Argumentation and Logic Programming for Explainable and Ethical AI (AIxIA 2020, 25/11/2020) — Roberta Calegari (Andrea Omicini, Giovanni Sartor, Roberta Calegari)
CEUR Workshop Proceedings (CEUR-WS.org)