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Evidence record 6084 · automatically gathered

Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems

While Multi-Agent Systems (MAS) are increasingly deployed for complex workflows, their emergent properties-particularly the accumulation of bias-remain poorly understood. Because real-world MAS are too complex to analyze entirely, evaluating their ethical robustness requires first isolating their foundational mechanics. In this work, we conduct a baseline empirical study investigating how basic MAS topologies and feedback loops influence prejudice. Contrary to the assumption that multi-agent col

Record details

Published: 10 April 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Agents & autonomy · Finance, VC & PE
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (10 April 2026), “Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems,” evidence record 6084, https://ethics.ai/record/6084 (originally published by arXiv).

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