Large Language Model Integration in Construction Safety: A Literature Review

10 pages•Published: June 2, 2026

Abstract

The construction industry continues to face persistently high rates of injuries and fatalities despite decades of safety initiatives, underscoring the need for innovative, data-driven approaches. Recent advances in artificial intelligence, particularly Large Language Models (LLMs), have opened new avenues for enhancing safety through automation, hazard recognition, and intelligent decision support. This study presents a comprehensive scientometric and thematic analysis of 60 peer-reviewed journal papers published between 2020 and 2025 that explore the intersection of LLMs and construction safety. The bibliometric results reveal a sharp growth in publications beginning in 2024, coinciding with the rise of generative AI technologies. Thematic analysis identifies five major research domains: text-based safety analytics, multimodal sensing and real-time monitoring, knowledge-enhanced reasoning, generative AI for data augmentation, and human-AI interaction for safety training and decision support. Key challenges include data scarcity, limited domain-specific reliability, and practical barriers to implementation. Overall, this study maps the intellectual landscape of LLM applications in construction safety, highlighting both current progress and future opportunities for leveraging language-based AI to achieve safer, more resilient construction environments.

Keyphrases: ai, construction, construction safety, llms, multimodal safety system

In: Wesley Collins, Anthony Perrenoud and John Posillico (editors). Proceedings of Associated Schools of Construction 62nd Annual International Conference, vol 7, pages 1202-1211.

Links:	https://easychair.org/publications/paper/H7zv
	https://doi.org/10.29007/fnzl

BibTeX entry

@inproceedings{ASC2026:Large_Language_Model_Integration,
  author    = {Nishi Chaudhary and S M Jamil Uddin},
  title     = {Large Language Model Integration in Construction Safety: A Literature Review},
  booktitle = {Proceedings of Associated Schools of Construction 62nd Annual International Conference},
  editor    = {Wesley Collins and Anthony Perrenoud and John Posillico},
  series    = {EPiC Series in Built Environment},
  volume    = {7},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2632-881X},
  url       = {/publications/paper/H7zv},
  doi       = {10.29007/fnzl},
  pages     = {1202-1211},
  year      = {2026}}

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