A Socio-Technical Framework for AI-Assisted Safety Management under Philippine COSH Context: A PRISMA-Guided Review and Stakeholder-Informed Gap Analysis (DATASET)

An exploratory multiphase mixed-methods design that integrates a PRISMA-guided systematic review with local stakeholder inquiry and comparative gap analysis. Of 183 records initially retrieved from Scopus and ScienceDirect, 44 studies were included to establish the international technological and operational baseline.

Local conditions were examined through an exploratory questionnaire involving 10 construction and occupational safety professionals in Metro Manila and in-depth inquiries with three key informants. Findings indicate that although AI technologies increasingly support hazard detection, monitoring, documentation, and risk assessment, their responsible local integration depends on regulatory clarity, reliable and secure data infrastructure, organizational and workforce readiness, and continued human oversight.