AI Bibliography |
![]() |
|
Calegari, R., Omicini, A., & Sartor, G. 2020, Explainable and ethical ai: A perspective on argumentation and logic programming. Paper presented at International Conference of the Italian Association for Artificial Intelligence. |
| Resource type: Proceedings Article BibTeX citation key: Calegari2020 View all bibliographic details |
Categories: Artificial Intelligence, Cognitive Science, Computer Science, Decision Theory, Ethics, General, Law Subcategories: Augmented cognition, Decision making, Deep learning, Human decisionmaking, Machine learning, Neurosymbolic, Psychology of human-AI interaction Creators: Calegari, Omicini, Sartor Publisher: Collection: International Conference of the Italian Association for Artificial Intelligence |
| Attachments |
| 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 some ethical concerns about AI. |