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dc.contributor.authorMartin, Hector
dc.contributor.authorJames, Jennifer
dc.contributor.authorChadee, Aaron
dc.date.accessioned2026-08-20T21:36:41Z
dc.date.available2026-08-20T21:36:41Z
dc.date.copyright2025/06/24
dc.date.issued2025
dc.identifier.otherJCEMD4.COENG-16658.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314733
dc.description.abstractAbstractThe last 3 years have witnessed an increasing awareness and consensus on using artificial intelligence (AI) to enhance decision-making in the construction sector. This study explores the integration of ChatGPT (Generative Pre-trained Transformer) ...Practical ApplicationsThe abilities to accurately identify risk early in project development and develop effective contingencies to mitigate potential impacts are highly desired skills among project managers and leaders. Careful implementation of risk ...
dc.publisherAmerican Society of Civil Engineers
dc.titleExploring Large Language Model AI tools in Construction Project Risk Assessment: Chat GPT Limitations in Risk Identification, Mitigation Strategies, and User Experience
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue9
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-16658
dc.journal.fristpage04025119-1
dc.journal.lastpage04025119-23
dc.page23
dc.treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 009
dc.contenttypeFulltext


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