Argumentation and Logic Programming for Explainable and Ethical AI


Roberta Calegari, Andrea Omicini, Giovanni Sartor

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

XAI.it 2020 – Italian Workshop on Explainable Artificial Intelligence 2020, CEUR Workshop Proceedings (AI*IA Series) 2742, pages 55-68, November 2020.
Cataldo Musto, Daniele Magazzeni, Salvatore Ruggieri, Giovanni Semeraro (eds.), Sun SITE Central Europe, RWTH Aachen University.
Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020)

@inproceedings{arglpxai-aiia2020,
author = {Calegari, Roberta and Omicini, Andrea and Sartor, Giovanni},
booktitle = {{XAI.it 2020} -- Italian Workshop on Explainable Artificial Intelligence 2020},
editor = {Musto, Cataldo and Magazzeni, Daniele and Ruggieri, Salvatore and Semeraro, Giovanni},
irisid = {11585/780458},
keywords = {explainable AI, ethical AI, argumentation, logic programming, abduction, probabilistic LP, inductive LP},
month = nov,
note = {Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020)},
pages = {55--68},
publisher = {Sun SITE Central Europe, RWTH Aachen University},
series = {CEUR Workshop Proceedings},
subseries = {AI*IA Series},
title = {Argumentation and Logic Programming for Explainable and Ethical {AI}},
url = {http://ceur-ws.org/Vol-2742/paper5.pdf},
volume = 2742,
year = 2020}

Talks

Journals & Series

Events

Publication

— authors

Roberta Calegari, Andrea Omicini, Giovanni Sartor

— editors

Cataldo Musto, Daniele Magazzeni, Salvatore Ruggieri, Giovanni Semeraro

— status

published

— sort

paper in proceedings

Venue

— volume

XAI.it 2020 – Italian Workshop on Explainable Artificial Intelligence 2020

— series

CEUR Workshop Proceedings

— volume

2742

— pages

55-68

— publication date

November 2020

URLs

original page

Identifiers

— IRIS

11585/780458

BibTeX

— BibTeX ID
arglpxai-aiia2020
— BibTeX category
inproceedings

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