Work

A Prototype Risk Assessment Dashboard for the Construction Industry: Getting Experts in the Loop Thanks to Machine Learning

Year: 2025

Type: article

Abstract: Construction work is fundamentally hazardous. Traditional risk assessment tools (e.g., checklists and audits) are static in essence and hard to make evolve. In this paper, we demonstrate how to get experts dynamically in the loop thanks to machine learning. Namely, we discussed the design of a prototype risk assessment dashboard dedicated to fall accidents. The interactive graphical user interface allows professionals to generate construction scenarios and compare their evaluation of risks with that of the dashboard. The latter continuously learns from expert feedback. The proof-of-concept we present here shows that it is possible to capitalize on expert knowledge in a dynamic and user-friendly way. Thanks to its neural network architecture, not only does the dashboard learn from the experts, but professionals also learn from the dashboard.

Source: Safety

DOI: 10.3390/safety11040118

Authors: Mirza Muntasir Nishat, Antoine Rauzy, Nils O. E. Olsson

Institution: Norwegian University of Science and Technology

Language: English

Topic: Occupational Health and Safety Research

Subfield: Radiological and Ultrasound Technology

Field: Health Professions

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $2,172

Funder: Norges Forskningsråd