Argumentative XAI: A Survey

Čyras, Kristijonas; Rago, Antonio; Albini, Emanuele; Baroni, Pietro; Toni, Francesca

doi:10.24963/ijcai.2021/600

Argumentative XAI: A Survey

Kristijonas Čyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Survey Track. Pages 4392-4399.

https://doi.org/10.24963/ijcai.2021/600

Keywords

Knowledge representation and reasoning: General
Multidisciplinary topics and applications: General
Agent-based and multi-agent based systems: General

Abstract

Explainable AI (XAI) has been investigated for decades and, together with AI itself, has witnessed unprecedented growth in recent years. Among various approaches to XAI, argumentative models have been advocated in both the AI and social science literature, as their dialectical nature appears to match some basic desirable features of the explanation activity. In this survey we overview XAI approaches built using methods from the field of computational argumentation, leveraging its wide array of reasoning abstractions and explanation delivery methods. We overview the literature focusing on different types of explanation (intrinsic and post-hoc), different models with which argumentation-based explanations are deployed, different forms of delivery, and different argumentation frameworks they use. We also lay out a roadmap for future work.

Kristijonas Čyras, Antonio Rago, Emanuele Albini, Pietro Baroni, and Francesca Toni. 2021. Argumentative XAI: A Survey. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4392–4399. https://doi.org/10.24963/ijcai.2021/600

@inproceedings{ijcai2021p600,
  title     = {Argumentative XAI: A Survey},
  author    = {Čyras, Kristijonas and Rago, Antonio and Albini, Emanuele and Baroni, Pietro and Toni, Francesca},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {4392--4399},
  year      = {2021},
  month     = {8},
  note      = {Survey Track},
  doi       = {10.24963/ijcai.2021/600},
  url       = {https://doi.org/10.24963/ijcai.2021/600},
}

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TI  - Argumentative XAI: A Survey
AU  - Čyras, Kristijonas
AU  - Rago, Antonio
AU  - Albini, Emanuele
AU  - Baroni, Pietro
AU  - Toni, Francesca
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 4392
EP  - 4399
DO  - 10.24963/ijcai.2021/600
UR  - https://doi.org/10.24963/ijcai.2021/600
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