Towards an Explainer-agnostic Conversational XAI
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 4909-4910.
https://doi.org/10.24963/ijcai.2021/686
Keywords
- Humans and AI: Intelligent User Interfaces
- AI Ethics, Trust, Fairness: Explainability
- Humans and AI: Human-Computer Interaction
- Natural Language Processing: Dialogue
Abstract
Explainable Artificial Intelligence (XAI) is gaining interests in both academia and industry, mainly thanks to the proliferation of darker more complex black-box solutions which are replacing their more transparent ancestors. Believing that the overall performance of an XAI system can be augmented by considering the end-user as a human being, we are studying the ways we can improve the explanations by making them more informative and easier to use from one hand, and interactive and customisable from the other hand.
@inproceedings{ijcai2021p686,
title = {Towards an Explainer-agnostic Conversational XAI},
author = {Nobani, Navid and Mercorio, Fabio and Mezzanzanica, Mario},
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 = {4909--4910},
year = {2021},
month = {8},
note = {Doctoral Consortium},
doi = {10.24963/ijcai.2021/686},
url = {https://doi.org/10.24963/ijcai.2021/686},
}
TY - CPAPER TI - Towards an Explainer-agnostic Conversational XAI AU - Nobani, Navid AU - Mercorio, Fabio AU - Mezzanzanica, Mario T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 4909 EP - 4910 DO - 10.24963/ijcai.2021/686 UR - https://doi.org/10.24963/ijcai.2021/686 ER -Copied
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