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LLM chair personas alter clinical decisions, increase bias: study

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv explores how the persona of a chair agent in multi-agent clinical decision-making systems can influence outcomes. Researchers found that when chair personas were defined as rules of conduct, an "autocratic" persona led to immediate action in 93% of cases, compared to 57% without a persona. While personas did not significantly alter the ultimate decision (surgery was almost always planned), they affected the timing and agreement between repeated runs. Prompts describing personality traits also retained some of these effects, suggesting that persona design is a critical factor in LLM agent behavior and should be reported alongside model choices in studies. AI

IMPACT Highlights the need to carefully consider and report LLM agent persona design, as it can introduce bias and affect decision-making in critical applications like healthcare.

RANK_REASON Academic paper published on arXiv detailing research findings. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM chair personas alter clinical decisions, increase bias: study

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Academic paper published on arXiv detailing research findings. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Ziyang Wang ·

    Consistent but Biased: Chair Personas Trade Noise for Bias in Multi-Agent Clinical Decisions

    In clinical systems built from several large language model (LLM) agents, one agent often chairs the discussion and makes the final decision. Whether the chair's persona prompt changes that decision, or the agreement between repeated runs that some systems treat as reliability, h…

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