用AI代理弥补投票缺席，提升长期投票的公平性
Artificial Delegates Resolve Fairness Issues in Perpetual Voting with Partial Turnout
- 引入训练过的AI代理代表缺席选民投票
- 实验显示AI代理能有效缓解投票不全导致的不公平
- 适合关注集体决策公平性的系统设计者
长期投票通过评估时间维度上的代表性公平性来解决连续集体决策中的公平问题。然而，现有长期投票规则依赖完全参与和完整批准信息，而现实中部分投票才是常态。本文研究将人工智能代理（Artificial Delegates）——即经过偏好学习、代表缺席选民的智能体——融入长期投票系统的可行性。我们分析了缺席对不同投票方法下公平性和代表性的干扰，并评估人工智能代理在弥补参与缺失方面的表现。结果表明，虽然缺席显著影响公平性，但人工智能代理能可靠地缓解这些负面影响，在多种场景下增强系统鲁棒性。
原文摘要 · Abstract (English)
Perpetual voting addresses fairness in sequential collective decision-making by evaluating representational equity over time. However, existing perpetual voting rules rely on full participation and complete approval information, assumptions that rarely hold in practice, where partial turnout is the norm. In this work, we study the integration of Artificial Delegates, preference-learning agents trained to represent absent voters, into perpetual voting systems. We examine how absenteeism affects fairness and representativeness under various voting methods and evaluate the extent to which Artificial Delegates can compensate for missing participation. Our findings indicate that while absenteeism significantly affects fairness, Artificial Delegates reliably mitigate these effects and enhance robustness across diverse scenarios.
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