Cataldo Musto, Daniele Magazzeni, Salvatore Ruggieri, Giovanni Semeraro (a cura di)
XAI.it 2020 – Italian Workshop on Explainable Artificial Intelligence 2020, pp. 55-68
CEUR Workshop Proceedings (AI*IA Series) 2742
Sun SITE Central Europe, RWTH Aachen University
novembre 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.
parole chiave
explainable AI, ethical AI, argumentation, logic programming, abduction, probabilistic LP, inductive LP
presentazione di riferimento
evento origine
rivista o collana
progetto finanziatore
AI4EU — A European AI On Demand Platform and Ecosystem
(01/01/2019–31/12/2021)
CompuLaw — Computable Law
(01/11/2019–31/10/2025)
funge da
pubblicazione di riferimento per presentazione
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)