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Contesting black-box AI decisions
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-7409-5813
Open University of Cyprus, CYENS Center of Excellence, Nicosia, Cyprus.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-4072-8795
University of Bergen, Bergen, Norway.
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2025 (English)In: AAMAS '25: Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, ACM Digital Library, 2025, p. 2854-2858Conference paper, Published paper (Refereed)
Abstract [en]

The “right to contest” decisions that have consequences on individuals or the society is a well-established democratic right. Contesting a decision is not a matter of simply providing an explanation, but rather of assessing whether the decision and the explanation are permissible against an organization's governance framework. Yet, albeit the popularity of adjacent fields, little work has been explicitly done on contesting AI decisions. In this paper, we propose that formal argumentation can be used to formulate contestations of decisions made by artificial agents. We extend the discourse on socio-ethical values in AI by conceptualizing our argumentation framework as a formal dialogue, enabling the interaction between humans and agents as decisions are being contested.

Place, publisher, year, edition, pages
ACM Digital Library, 2025. p. 2854-2858
Series
Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, ISSN 1548-8403, E-ISSN 1558-2914
Keywords [en]
algorithmic decision making, contestable AI, explainable AI, formal argumentation
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-242185Scopus ID: 2-s2.0-105009799308ISBN: 9798400714269 (electronic)OAI: oai:DiVA.org:umu-242185DiVA, id: diva2:1983987
Conference
24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025, Detroit, USA, May 19-23, 2025
Available from: 2025-07-14 Created: 2025-07-14 Last updated: 2025-07-14Bibliographically approved

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fulltext(872 kB)191 downloads
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Dignum, VirginiaNieves, Juan Carlos

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Total: 192 downloads
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CiteExportLink to record
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Cite
Citation style
  • apa
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Output format
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