Formalizing Trust in Artificial Intelligence for Built Environment Decision-Making

Abstract

While artificial intelligence (AI) has transformed the planning, design, construction, and operation of physical infrastructure and spaces, it has also raised concerns about algorithmic bias, data privacy, and ethical use in built environment decision-making. Addressing these issues is crucial for designing, developing, and deploying trustworthy AI systems that promote human safety, infrastructure security, and resource allocation. This paper reviews trust issues in AI through the lens of several built environment decision scenarios, e.g., weather prediction, disaster mitigation and response, urban sensing, and bridge health monitoring. It then outlines a framework to formalize trust, aiding researchers, policymakers, and practitioners in designing AI systems that serve societal interests.

Keywords: Artificial Intelligence, Trust, Built Environment, Decision-Making

DOI: 10.54941/ahfe1005565