@inproceedings{Leofante:2024,
author = {Leofante, F and Ayoobi, H and Dejl, A and Freedman, G and Gorur, D and Jiang, J and Paulino, Passos G and Rago, A and Rapberger, A and Russo, F and Yin, X and Zhang, D and Toni, F},
publisher = {IJCAI Organization},
title = {Contestable AI needs computational argumentation},
url = {http://hdl.handle.net/10044/1/114048},
year = {2024}
}

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TY  - CPAPER
AB  - AI has become pervasive in recent years, but state-of-the-art approaches predominantly neglect the need for AI systems to be contestable. Instead, contestability is advocated by AI guidelines (e.g. by the OECD) and regulation of automated decision-making (e.g. GDPR). In this position paper we explore how contestability can be achieved computationally in and for AI. We argue that contestable AI requires dynamic (human-machine and/or machine-machine) explainability and decision-making processes, whereby machines can (i) interact with humans and/or other machines to progressively explain their outputs and/or their reasoning as well as assess grounds for contestation provided by these humans and/or other machines, and (ii) revise their decision-making processes to redress any issues successfully raised during contestation. Given that much of the current AI landscape is tailored to static AIs, the need to accommodate contestability will require a radical rethinking, that, we argue, computational argumentation is ideally suited to support.
AU  - Leofante,F
AU  - Ayoobi,H
AU  - Dejl,A
AU  - Freedman,G
AU  - Gorur,D
AU  - Jiang,J
AU  - Paulino,Passos G
AU  - Rago,A
AU  - Rapberger,A
AU  - Russo,F
AU  - Yin,X
AU  - Zhang,D
AU  - Toni,F
PB  - IJCAI Organization
PY  - 2024///
TI  - Contestable AI needs computational argumentation
UR  - http://hdl.handle.net/10044/1/114048
ER  - 

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