Argumentation Theoretical Frameworks for Explainable Artificial Intelligence
2020-11-01ACL (NL4XAI, INLG) 2020Unverified0· sign in to hype
Martijn Demollin, Qurat-Ul-Ain Shaheen, Katarzyna Budzynska, Carles Sierra
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
This paper discusses four major argumentation theoretical frameworks with respect to their use in support of explainable artificial intelligence (XAI). We consider these frameworks as useful tools for both system-centred and user-centred XAI. The former is concerned with the generation of explanations for decisions taken by AI systems, while the latter is concerned with the way explanations are given to users and received by them.