Safety professionals' acceptance of artificial intelligence in the construction industry: an extended technology acceptance model.
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| Title: | Safety professionals' acceptance of artificial intelligence in the construction industry: an extended technology acceptance model. |
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| Authors: | Chellappa, Vigneshkumar1 (AUTHOR) vkumar.chellappa@polyu.edu.hk |
| Source: | Safety Science. Jul2026, Vol. 199, pN.PAG-N.PAG. 1p. |
| Subjects: | Artificial intelligence, Construction industry safety, Risk perception, Trust, Technology Acceptance Model, Privacy, Social influence |
| Geographic Terms: | India |
| Abstract: | • Trust, perceived risk, and social influence are significant predictors of safety professionals' intention to adopt AI for construction safety. • Higher levels of technology anxiety negatively affect perceptions of AI's usefulness and ease of use, hindering adoption. • The non-significance of privacy concerns suggests that professionals may prioritize operational safety over data privacy. Artificial Intelligence (AI) offers promising solutions to enhance safety performance in the construction industry, including detecting unsafe conditions, predicting safety risks, and identifying unsafe worker behavior. Despite these benefits, AI adoption remains limited in developing regions like India due to barriers including low digital literacy, risk aversion, and strong social influences. Additionally, growing concerns about data privacy and security complicate technology acceptance, making it crucial to understand these factors to prevent user resistance and underutilization of safety-enhancing technologies. This study examines the key factors influencing AI acceptance among safety professionals in India, focusing on trust, perceived risk, social influence, privacy concerns, and technology anxiety, and using an extended Technology Acceptance Model. The acceptance of AI was analyzed using Structural Equation Modeling. The results indicate that trust, perceived risk, and social influence significantly influence behavioral intention to adopt AI, whereas technology anxiety negatively affects perceived usefulness and ease of use. Notably, the unexpected lack of significance of privacy concerns suggests a potential "safety-privacy tradeoff," where professionals prioritize operational safety over data privacy. These findings underscore the importance of building trust, managing risk perceptions, and addressing technology anxiety to foster AI adoption and improve safety in the Indian construction sector. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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