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English(EN) Generative AI for Managerial Decision-Making under Ambiguity and Sycophancy

探索生成式AI模型在变化和模糊性下的决策能力 · 跟踪2个来源

作者 PulseAugur 编辑部 · [2 个来源] ·

两篇最新的arXiv论文探讨了生成式AI模型在决策场景中的应用。第一篇论文《生成模型在分布变化下的决策》侧重于使用流模型和分数模型生成模型来构建与决策相关的分布，以提高鲁棒性和不确定性量化。第二篇论文《生成式AI在模糊性和谄媚性下的管理决策》研究了生成式AI在商业环境中的表现，评估其处理模糊性的能力以及在给出错误指令时易受谄媚行为影响的程度。 AI

影响 这些论文探讨了生成式AI在复杂决策场景中的新颖应用，有望提高商业和运筹学中的鲁棒性和战略规划。

排序理由 两篇在arXiv上发表的学术论文，讨论了生成式AI的应用。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

探索生成式AI模型在变化和模糊性下的决策能力 · 跟踪2个来源

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两篇在arXiv上发表的学术论文，讨论了生成式AI的应用。
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Xiuyuan Cheng, Yunqin Zhu, Yao Xie ·

    生成式模型在分布变化下的决策制定

    arXiv:2604.04342v2 Announce Type: replace Abstract: Many data-driven decision problems are formulated using a nominal distribution estimated from historical data, while performance is ultimately determined by a deployment distribution that may be shifted, context-dependent, parti…

  2. arXiv cs.AI TIER_1 English(EN) · Sule Ozturk Birim, Fabrizio Marozzo, Yigit Kazancoglu ·

    生成式AI在模糊性和谄媚性下的管理决策应用

    arXiv:2603.03970v2 Announce Type: replace Abstract: Generative artificial intelligence (GenAI) is increasingly being integrated into complex business workflows, fundamentally shifting the boundaries of managerial decision-making. However, the reliability of its strategic advice i…

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