Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials

Abstract

Human-technology interaction deals with trust as an inevitable requirement for user acceptance. As the applications of artificial intelligence (AI) and robotics emerge and with their ever-growing socio-economic influence in various fields of research and practice, there is an imminent need to study trust in such systems. With the opaque work mechanism of AI-based systems and the prospect of intelligent robots as workers' companions, context-specific interdisciplinary studies on trust are key in increasing their adoption. Through a thorough systematic literature review on (1) trust in AI and robotics (AIR) and (2) AIR applications in the architecture, engineering, and construction (AEC) industry, this study identifies common trust dimensions in the literature and uses them to organize the paper. Furthermore, the connections of the identified dimensions to the existing and potential AEC applications are determined and discussed. Finally, major future directions on trustworthy AI and robotics in AEC research and practice are outlined.

References in corpus (6)

• Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
• What Does Explainable AI Really Mean? A New Conceptualization of Perspectives
• The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
• Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences
• Trust Considerations for Explainable Robots: A Human Factors Perspective
• Trustworthy AI

Cited by in corpus (3)

• Ethics of Artificial Intelligence and Robotics in the Architecture, Engineering, and Construction Industry
• Enabling Building Information Model-Driven Human-Robot Collaborative Construction Workflows with Closed-Loop Digital Twins
• Large Language Model for Mental Health: A Systematic Review