Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects

Engineering construction projects using AI technologies create obstacles. Barriers prevent AI integration in construction. Insufficient knowledge and understanding of AI, data management and integration issues, legal and regulatory hurdles, financial considerations, reluctance to change, and interop...

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Main Author: ALKAABI, ABDULLA (author)
Published: 2023
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Online Access:https://bspace.buid.ac.ae/handle/1234/2375
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author ALKAABI, ABDULLA
author_facet ALKAABI, ABDULLA
author_role author
dc.contributor.none.fl_str_mv Dr Gul Ahmed
dc.creator.none.fl_str_mv ALKAABI, ABDULLA
dc.date.none.fl_str_mv 2023-11-01T10:40:08Z
2023-11-01T10:40:08Z
2023-10
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 20003012
https://bspace.buid.ac.ae/handle/1234/2375
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv The British University in Dubai (BUiD)
dc.subject.none.fl_str_mv artificial intelligence tools, engineering construction projects, AI technologies,
dc.title.none.fl_str_mv Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
dc.type.none.fl_str_mv Dissertation
description Engineering construction projects using AI technologies create obstacles. Barriers prevent AI integration in construction. Insufficient knowledge and understanding of AI, data management and integration issues, legal and regulatory hurdles, financial considerations, reluctance to change, and interoperability issues all hinder AI system adoption and implementation. First, many engineering and construction specialists may not understand or use artificial intelligence. The situation may cause concern and trepidation about integrating AI technologies and lack understanding of their optimal deployment and operation. Construction data management and integration are difficult. AI algorithms depend on data for training and analysis. AI technologies often struggle with construction data's fragmentation, inconsistency, and confidentiality. AI technologies may also face regulatory and legal hurdles related to data confidentiality, protection, and property rights. These issues may limit AI tool use or increase legal liability, hindering adoption. Integrating AI technology may be costly, especially for smaller companies with limited funds. Hardware, software, and training costs may prevent certain construction businesses from using AI solutions. Industry culture and change aversion may slow AI tool adoption. Conventional attitudes, fear of termination, and reluctance to change processes may hinder AI adoption in construction workflows. Finally, interoperability and integration issues may hinder AI adoption. Incorporating AI into pre-existing software, systems, and processes may require significant effort and tailoring, and compatibility issues may hinder the easy integration of AI utilities into building projects.
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network_name_str The British University in Dubai repository
oai_identifier_str oai:bspace.buid.ac.ae:1234/2375
publishDate 2023
publisher.none.fl_str_mv The British University in Dubai (BUiD)
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spelling Barriers of Adopting Artificial Intelligence Tools in Engineering Construction ProjectsALKAABI, ABDULLAartificial intelligence tools, engineering construction projects, AI technologies,Engineering construction projects using AI technologies create obstacles. Barriers prevent AI integration in construction. Insufficient knowledge and understanding of AI, data management and integration issues, legal and regulatory hurdles, financial considerations, reluctance to change, and interoperability issues all hinder AI system adoption and implementation. First, many engineering and construction specialists may not understand or use artificial intelligence. The situation may cause concern and trepidation about integrating AI technologies and lack understanding of their optimal deployment and operation. Construction data management and integration are difficult. AI algorithms depend on data for training and analysis. AI technologies often struggle with construction data's fragmentation, inconsistency, and confidentiality. AI technologies may also face regulatory and legal hurdles related to data confidentiality, protection, and property rights. These issues may limit AI tool use or increase legal liability, hindering adoption. Integrating AI technology may be costly, especially for smaller companies with limited funds. Hardware, software, and training costs may prevent certain construction businesses from using AI solutions. Industry culture and change aversion may slow AI tool adoption. Conventional attitudes, fear of termination, and reluctance to change processes may hinder AI adoption in construction workflows. Finally, interoperability and integration issues may hinder AI adoption. Incorporating AI into pre-existing software, systems, and processes may require significant effort and tailoring, and compatibility issues may hinder the easy integration of AI utilities into building projects.The British University in Dubai (BUiD)Dr Gul Ahmed2023-11-01T10:40:08Z2023-11-01T10:40:08Z2023-10Dissertationapplication/pdf20003012https://bspace.buid.ac.ae/handle/1234/2375enoai:bspace.buid.ac.ae:1234/23752023-11-01T23:00:22Z
spellingShingle Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
ALKAABI, ABDULLA
artificial intelligence tools, engineering construction projects, AI technologies,
title Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
title_full Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
title_fullStr Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
title_full_unstemmed Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
title_short Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
title_sort Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
topic artificial intelligence tools, engineering construction projects, AI technologies,
url https://bspace.buid.ac.ae/handle/1234/2375