Matteo Baldoni, Stefania Bandini (eds.)
AIxIA 2020 – Advances in Artificial Intelligence, chapter 2, pages 19–36
Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence) 12414
Springer Nature
2021
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.
keywords
explainable AI · ethical AI · argumentation · logic programming · abduction · probabilistic LP · inductive LP
origin event
journal or series
Lecture Notes in Computer Science
(LNCS)
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)
