Empirical tests show that uniformly biased agents in multi-agent LLM systems produce system-wide bias exceeding the sum of individual biases, quantified via a new Favor Bias Strength metric.
InarXiv preprint arXiv:2510.04317
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Examining Agents' Bias Amplification versus Suppression in Multi-Agent Systems
Empirical tests show that uniformly biased agents in multi-agent LLM systems produce system-wide bias exceeding the sum of individual biases, quantified via a new Favor Bias Strength metric.