Position: Multi-Agent Algorithmic Care Systems Demand Contestability for Trustworthy AI
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arXiv:2603.20595v1 Announce Type: new Abstract: Multi-agent systems (MAS) are increasingly used in healthcare to support complex decision-making through collaboration among specialized agents. Because these systems act as collective decision-makers, they raise challenges for trust, accountability, and human oversight. Existing approaches to trustworthy AI largely rely on explainability, but explainability alone is insufficient in multi-agent settings, as it does not enable care partners to chall
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✦ AI Summary· Claude Sonnet
Computer Science > Artificial Intelligence
[Submitted on 21 Mar 2026]
Position: Multi-Agent Algorithmic Care Systems Demand Contestability for Trustworthy AI
Truong Thanh Hung Nguyen, Hélène Fournier, Piper Jackson, Makoto Itoh, Shannon Freeman, Rene Richard, Hung Cao
Multi-agent systems (MAS) are increasingly used in healthcare to support complex decision-making through collaboration among specialized agents. Because these systems act as collective decision-makers, they raise challenges for trust, accountability, and human oversight. Existing approaches to trustworthy AI largely rely on explainability, but explainability alone is insufficient in multi-agent settings, as it does not enable care partners to challenge or correct system outputs. To address this limitation, Contestable AI (CAI) characterizes systems that support effective human challenge throughout the decision-making lifecycle by providing transparency, structured opportunities for intervention, and mechanisms for review, correction, or override. This position paper argues that contestability is a necessary design requirement for trustworthy multi-agent algorithmic care systems. We identify key limitations in current MAS and Explainable AI (XAI) research and present a human-in-the-loop framework that integrates structured argumentation and role-based contestation to preserve human agency, clinical responsibility, and trust in high-stakes care contexts.
Subjects: Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA)
Cite as: arXiv:2603.20595 [cs.AI]
(or arXiv:2603.20595v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2603.20595
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Submission history
From: Truong Thanh Hung Nguyen [view email]
[v1] Sat, 21 Mar 2026 01:47:26 UTC (1,897 KB)
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