Trust in AI and Implications for the AEC Research: A Literature Analysis

Trust in AI and Implications for the AEC Research: A Literature Analysis
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对人工智能的信任及其对 AEC 研究的影响:文献分析

DOI:
10.48550/arxiv.2203.03847
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发表时间:
2022
期刊:
ArXiv
影响因子:
--
通讯作者:
Reza Akhavian
Reza Akhavian
中科院分区:
--
文献类型:
--
作者:
Newsha Emaminejad;Alexander North;Reza Akhavian

文献摘要

被引文献

相似文献

在技术上可接受和心理上可接受的系统中产生信任需要特定领域的研究,以捕捉应用领域的独特特征。建筑、工程和建筑(AEC)研究界最近一直在利用人工智能(AI)提供的先进解决方案来改善项目工作流程。尽管AEC行业的工作、工人和工作场所具有独特的特点,但人工智能中的信任概念在文献中很少受到关注。本文对人工智能和人工智能在AEC中的信任两个主要领域的学术文献进行了全面分析,以探讨AEC项目独特方面与导致人工智能信任的社会技术概念之间的相互作用。本研究共分析了490篇同行评议的学术文章。从文献中确定了人类对AI信任的主要组成部分,并在AEC项目类型,流程和技术中进行了表征。
Engendering trust in technically acceptable and psychologically embraceable systems requires domain-specific research to capture unique characteristics of the field of application. The architecture, engineering, and construction (AEC) research community has been recently harnessing advanced solutions offered by artificial intelligence (AI) to improve project workflows. Despite the unique characteristics of work, workers, and workplaces in the AEC industry, the concept of trust in AI has received very little attention in the literature. This paper presents a comprehensive analysis of the academic literature in two main areas of trust in AI and AI in the AEC, to explore the interplay between AEC projects unique aspects and the sociotechnical concepts that lead to trust in AI. A total of 490 peer-reviewed scholarly articles are analyzed in this study. The main constituents of human trust in AI are identified from the literature and are characterized within the AEC project types, processes, and technologies.