论文标题

对AI的信任及其对AEC研究的影响:A文献分析

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

论文作者

Emaminejad, Newsha, North, Alexa Maria, Akhavian, Reza

论文摘要

对技术上可接受和心理上的可接受系统的信任需要特定于领域的研究,以捕获应用领域的独特特征。建筑,工程和建筑(AEC)研究社区最近一直在利用人工智能(AI)提供的高级解决方案来改善项目工作流程。尽管AEC行业的工作,工人和工作场所的独特特征,但对AI的信任概念在文献中很少受到关注。本文对AIC中AI和AI的两个主要信任领域进行了对学术文献的全面分析,以探讨AEC项目独特的方面与导致AI信任的社会技术概念之间的相互作用。在这项研究中,总共分析了490个同行评审的学术文章。人类对人工智能信任的主要成分是从文献中确定的,并在AEC项目类型,过程和技术中进行了特征。

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.

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