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.
keywords
explainable AI, ethical AI, argumentation, logic programming, abduction, probabilistic LP, inductive LP
reference talk
origin event
journal or series
funding project
AI4EU — A European AI On Demand Platform and Ecosystem
(01/01/2019–31/12/2021)
CompuLaw — Computable Law
(01/11/2019–31/10/2025)
works as
reference publication for talk
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)