相关实验视频

Updated: Mar 10, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.7K

生成型人工智能投票:公平的集体选择能够抵御LLM偏见和不一致

Srijoni Majumdar1, Edith Elkind2, Evangelos Pournaras1

  • 1School of Computer Science, University of Leeds, Leeds, LS29JT, UK.

EPJ data science
|March 9, 2026
PubMed
概括

生成型人工智能 (AI) 和大型语言模型 (LLM) 可以代表弃权选民,提高民主弹性. 在投票率低的选举中,比例方法确保了人类和人工智能更公平的结果.

关键词:
集体决策是集体的决策.生成性AI是一种人工智能.大型语言模型.参与式预算是指参与式预算.相对比例的代表方式.社会选择 社会选择投票率 投票率 投票率 投票率 投票率投票时间 投票时间

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