Engineers' perspectives on the use of generative artificial intelligence tools in the workplace

Joskowicz, José - Slomovitz, Daniel

Resumen:

The integration of artificial intelligence (AI) into the workplace requires commitment not only from the leadership of company directors but, equally important, from the engineers responsible for its implementation. This article presents a survey on perceptions concerning the utilization of AI tools in engineering environments. It was focused on engineers and students in the areas of electricity, electronics, and computing. The questionnaire covered demographic information, AI knowledge level, preferred tools, primary applications, perceived impact, and attitudes toward labor substitution. With the endorsement of the IEEE Uruguay Section and IEEE Region 9, the survey was distributed via email to a diverse group of potential participants, in several countries, including all IEEE members in Region 9. There were 375 replies to the survey, from 20 different countries in the Americas.


Detalles Bibliográficos
2024
Artificial intelligence
Surveys
Employment
Chatbots
Companies
Technological innovation
IEEE Regions
AI tools
Future impact
Generative
IEEE member
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/43701
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Joskowicz, José
author2 Slomovitz, Daniel
author2_role author
author_facet Joskowicz, José
Slomovitz, Daniel
author_role author
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dc.contributor.filiacion.none.fl_str_mv Joskowicz José, Universidad de la República (Uruguay). Facultad de Ingeniería.
Slomovitz Daniel, Universidad de la República (Uruguay). Facultad de Ingeniería.
dc.coverage.spatial.es.fl_str_mv América.
dc.creator.none.fl_str_mv Joskowicz, José
Slomovitz, Daniel
dc.date.accessioned.none.fl_str_mv 2024-05-02T13:28:54Z
dc.date.available.none.fl_str_mv 2024-05-02T13:28:54Z
dc.date.issued.none.fl_str_mv 2024
dc.description.abstract.none.fl_txt_mv The integration of artificial intelligence (AI) into the workplace requires commitment not only from the leadership of company directors but, equally important, from the engineers responsible for its implementation. This article presents a survey on perceptions concerning the utilization of AI tools in engineering environments. It was focused on engineers and students in the areas of electricity, electronics, and computing. The questionnaire covered demographic information, AI knowledge level, preferred tools, primary applications, perceived impact, and attitudes toward labor substitution. With the endorsement of the IEEE Uruguay Section and IEEE Region 9, the survey was distributed via email to a diverse group of potential participants, in several countries, including all IEEE members in Region 9. There were 375 replies to the survey, from 20 different countries in the Americas.
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dc.identifier.citation.es.fl_str_mv Joskowicz, J. y Slomovitz, D. Engineers' perspectives on the use of generative artificial intelligence tools in the workplace [Preprint]. Publicado en: IEEE Engineering Management Review, 2024, vol. 52, no. 1, pp. 258-267. DOI: 10.1109/EMR.2023.3333794.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/43701
dc.language.iso.none.fl_str_mv en
eng
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Artificial intelligence
Surveys
Employment
Chatbots
Companies
Technological innovation
IEEE Regions
AI tools
Future impact
Generative
IEEE member
dc.title.none.fl_str_mv Engineers' perspectives on the use of generative artificial intelligence tools in the workplace
dc.type.es.fl_str_mv Preprint
dc.type.none.fl_str_mv info:eu-repo/semantics/preprint
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description The integration of artificial intelligence (AI) into the workplace requires commitment not only from the leadership of company directors but, equally important, from the engineers responsible for its implementation. This article presents a survey on perceptions concerning the utilization of AI tools in engineering environments. It was focused on engineers and students in the areas of electricity, electronics, and computing. The questionnaire covered demographic information, AI knowledge level, preferred tools, primary applications, perceived impact, and attitudes toward labor substitution. With the endorsement of the IEEE Uruguay Section and IEEE Region 9, the survey was distributed via email to a diverse group of potential participants, in several countries, including all IEEE members in Region 9. There were 375 replies to the survey, from 20 different countries in the Americas.
eu_rights_str_mv openAccess
format preprint
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identifier_str_mv Joskowicz, J. y Slomovitz, D. Engineers' perspectives on the use of generative artificial intelligence tools in the workplace [Preprint]. Publicado en: IEEE Engineering Management Review, 2024, vol. 52, no. 1, pp. 258-267. DOI: 10.1109/EMR.2023.3333794.
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
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publishDate 2024
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling Joskowicz José, Universidad de la República (Uruguay). Facultad de Ingeniería.Slomovitz Daniel, Universidad de la República (Uruguay). Facultad de Ingeniería.América.2024-05-02T13:28:54Z2024-05-02T13:28:54Z2024Joskowicz, J. y Slomovitz, D. Engineers' perspectives on the use of generative artificial intelligence tools in the workplace [Preprint]. Publicado en: IEEE Engineering Management Review, 2024, vol. 52, no. 1, pp. 258-267. DOI: 10.1109/EMR.2023.3333794.https://hdl.handle.net/20.500.12008/43701The integration of artificial intelligence (AI) into the workplace requires commitment not only from the leadership of company directors but, equally important, from the engineers responsible for its implementation. This article presents a survey on perceptions concerning the utilization of AI tools in engineering environments. It was focused on engineers and students in the areas of electricity, electronics, and computing. The questionnaire covered demographic information, AI knowledge level, preferred tools, primary applications, perceived impact, and attitudes toward labor substitution. With the endorsement of the IEEE Uruguay Section and IEEE Region 9, the survey was distributed via email to a diverse group of potential participants, in several countries, including all IEEE members in Region 9. There were 375 replies to the survey, from 20 different countries in the Americas.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2024-04-26T20:46:47Z No. of bitstreams: 2 license_rdf: 25790 bytes, checksum: 489f03e71d39068f329bdec8798bce58 (MD5) JS24a.pdf: 656626 bytes, checksum: de1a338920bc27023ba029d7d0fb5b32 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2024-05-02T13:27:57Z (GMT) No. of bitstreams: 2 license_rdf: 25790 bytes, checksum: 489f03e71d39068f329bdec8798bce58 (MD5) JS24a.pdf: 656626 bytes, checksum: de1a338920bc27023ba029d7d0fb5b32 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2024-05-02T13:28:54Z (GMT). No. of bitstreams: 2 license_rdf: 25790 bytes, checksum: 489f03e71d39068f329bdec8798bce58 (MD5) JS24a.pdf: 656626 bytes, checksum: de1a338920bc27023ba029d7d0fb5b32 (MD5) Previous issue date: 202410 p.application/pdfenengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Artificial intelligenceSurveysEmploymentChatbotsCompaniesTechnological innovationIEEE RegionsAI toolsFuture impactGenerativeIEEE memberEngineers' perspectives on the use of generative artificial intelligence tools in the workplacePreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaJoskowicz, JoséSlomovitz, DanielLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/43701/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/43701/2/license_urla006180e3f5b2ad0b88185d14284c0e0MD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse
spellingShingle Engineers' perspectives on the use of generative artificial intelligence tools in the workplace
Joskowicz, José
Artificial intelligence
Surveys
Employment
Chatbots
Companies
Technological innovation
IEEE Regions
AI tools
Future impact
Generative
IEEE member
status_str submittedVersion
title Engineers' perspectives on the use of generative artificial intelligence tools in the workplace
title_full Engineers' perspectives on the use of generative artificial intelligence tools in the workplace
title_fullStr Engineers' perspectives on the use of generative artificial intelligence tools in the workplace
title_full_unstemmed Engineers' perspectives on the use of generative artificial intelligence tools in the workplace
title_short Engineers' perspectives on the use of generative artificial intelligence tools in the workplace
title_sort Engineers' perspectives on the use of generative artificial intelligence tools in the workplace
topic Artificial intelligence
Surveys
Employment
Chatbots
Companies
Technological innovation
IEEE Regions
AI tools
Future impact
Generative
IEEE member
url https://hdl.handle.net/20.500.12008/43701