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@article{183082,
        author = {Mohd Sufian and RG NAUMAN KHAN},
        title = {IMPLEMENTATION OF AI IN CONSTRUCTION RISK ASSESSMENT & MITIGATION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {313-319},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183082},
        abstract = {This study investigates the integration of Artificial Intelligence (AI) in construction risk management through theoretical and empirical lenses. Drawing upon complex systems theory and sociotechnical frameworks, the research analyzes how emerging technologies are redefining conventional risk assessment methodologies in the Indian construction sector. The paper establishes a conceptual model demonstrating how AI-driven systems enhance traditional risk matrices through dynamic data processing capabilities and pattern recognition algorithms.
The research evaluates three technological paradigms transforming construction safety: computer vision-based hazard identification systems, predictive analytics for risk probability forecasting, and IoT-enabled personal protective ecosystems. Empirical evidence from Indian infrastructure projects indicates measurable improvements, including 25-30% reduction in worksite accidents through automated monitoring systems and 35-42% enhancement in worker safety compliance via smart wearable technologies.
The study identifies critical success factors for AI implementation through the lens of technology-organization-environment theory, revealing that optimal risk mitigation outcomes require synchronous development across three dimensions: technological infrastructure, organizational process adaptation, and regulatory ecosystem support. Findings highlight the particular challenges of implementing AI solutions in developing economies, including data quality issues, workforce skill gaps, and interoperability constraints.
This research contributes to the growing body of knowledge on digital transformation in construction by providing a comprehensive framework for AI adoption in risk management. The results suggest that while AI technologies show significant promise in enhancing construction safety outcomes, their full potential requires complementary investments in digital literacy programs, standardized data protocols, and adaptive regulatory frameworks tailored to the Indian construction context.},
        keywords = {Artificial Intelligence, Construction Risk Management, Digital Transformation, Predictive Analytics, Smart Safety Systems, Sociotechnical Systems, Indian Infrastructure Development},
        month = {July},
        }