Position: Multi-Agent Algorithmic Care Systems Demand Contestability for Trustworthy AI
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 interv...
| Authors | Truong Thanh Hung Nguyen, Hélène Fournier, Piper Jackson et al. |
|---|---|
| Primary category | cs.AI |
| Published | 21 March 2026 |
| Last updated at source | 21 March 2026 |
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