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English(EN) A Mental Model Based Framework of Trust

新框架模拟人类对AI代理的信任

研究人员开发了一个新的框架,用于理解和推断人类对AI代理的信任。该框架基于心智模型,并捕捉信任的多维度方面,包括性能、过程和目的。该系统旨在形式化现有文献中关于信任的直觉,并可用于开发信任感知的AI代理决策系统。进行了人类受试者研究,以验证该框架调整人类信念并随后修改信任感知的能力。 AI

影响 通过形式化信任动态,为构建更可靠、更易于理解的AI系统提供了理论基础。

排序理由 该集群包含一篇学术论文,详细介绍了AI信任的新框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

新框架模拟人类对AI代理的信任

本文如何被排名

Signal score
22 / 100
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Tool
该集群包含一篇学术论文,详细介绍了AI信任的新框架。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics
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High
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Breaking (< 6h)
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zahra Zahedi, Sarath Sreedharan, Erin Chiou, Subbarao Kambhampati ·

    基于信任心智模型的框架

    arXiv:2301.12569v2 Announce Type: replace Abstract: Handling trust is a core requirement of effective interaction between people and AI agents. Thus, any decision-making framework designed to work with people must be able to estimate human trust. In this paper, we propose a menta…