Trust in AI and Implications for the AEC Research: A Literature Analysis
Trust in AI and Implications for the AEC Research: A Literature Analysis
复制标题
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:
影响因子:
--
通讯作者:
Reza Akhavian
中科院分区:
文献类型:
--
作者:
Newsha Emaminejad;Alexander North;Reza Akhavian
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.