Argumentation and Logic Programming for Explainable and Ethical AI

@talk{arglpxaiaixia2020,
    abstract = {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.},
    address = {Torino},
    apice = {ArglpxaiAixia2020},
    author = {Omicini, Andrea and Sartor, Giovanni and Calegari, Roberta},
    date = {2020-11-25},
    howpublished = {XAI.it 2020},
    language = {en},
    month = nov,
    slideshare = {https://www.slideshare.net/rcalegari1/argumentation-and-logic-programming-for-explainable-and-ethical-ai},
    sort = {talk},
    speaker = {Calegari, Roberta},
    title = {Argumentation and Logic Programming for Explainable and Ethical AI},
    type = {Talk},
    year = 2020
}