Argumentation and Logic Programming for Explainable and Ethical AI

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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.

hosting event
worldXAI.it 2020@AIxIA 2020
reference publication
page_white_acrobatArgumentation and Logic Programming for Explainable and Ethical AI (paper in proceedings, 2020) — Roberta Calegari, Andrea Omicini, Giovanni Sartor
funding project
wrenchCompuLaw — Computable Law (01/11/2019–31/10/2025)
works as
reference talk for
page_white_acrobatArgumentation and Logic Programming for Explainable and Ethical AI (paper in proceedings, 2020) — Roberta Calegari, Andrea Omicini, Giovanni Sartor