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English(EN) Should I stay or should I show? Learning to selectively disclose information

AI学习最优信息披露以辅助人类决策

研究人员开发了一种选择性信息披露方法,旨在预算约束下优化人类决策者的结果。所提出的策略学习何时披露支持信息,在实验中优于不披露和完全披露。用户研究表明,AI引导的披露可以提高人机团队的绩效,尽管这种优势可能因任务和信息呈现方式而异。 AI

影响 这项研究可能通过优化关键决策场景中的信息流,从而实现更有效的人机协作。

排序理由 关于AI-人类决策中选择性信息披露的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI学习最优信息披露以辅助人类决策

本文如何被排名

Signal score
13 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
关于AI-人类决策中选择性信息披露的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Carlotta Giacchetta, Alessando Bogani, Cesare Barbera, Giovanni De Toni, Michele Caprio, Andrea Pugnana, Andrea Passerini ·

    我应该保持沉默还是展示?学习选择性披露信息

    arXiv:2609.39818v1 Announce Type: new Abstract: In many high-stakes settings, human decision-makers can acquire support information before making a decision. However, acquiring information is costly, and disclosure may fail to improve human decisions or may even impair them. We t…