Public managers perception on artificial intelligence: the case of the State of Mexico

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dc.contributor.authorMillan Vargas, Adrian
dc.contributor.authorSandoval-Almazán, Rodrigo
dc.date.accessioned2023-12-26T18:37:43Z
dc.date.available2023-12-26T18:37:43Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.234
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other520d4ecb-7461-4986-8a36-300edc32979d
dc.identifier.urihttps://hdl.handle.net/10125/106612
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAI in Government
dc.subjectartificial intelligence
dc.subjectcompetencies
dc.subjectlocal government
dc.subjectperceptions
dc.subjectpublic managers
dc.titlePublic managers perception on artificial intelligence: the case of the State of Mexico
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThe use and implementation of Artificial Intelligence (AI) tools for doing repetitive tasks in the public sector is a challenge, particularly in persuading bureaucrats. However, the potential benefits for citizens, such as improved process and services related to tax payments and basic services using machine learning or diffuse logic for decision making or logistic distribution, are significant. This research aims to investigate public managers' competencies to face AI challenges in the public sector. A survey was conducted among 32 key public managers from the government of the State of Mexico in the central region to assess their perceptions of AI. The findings indicate that there is a lack of skills and a limited understanding of AI among public managers, potentially hindering its future implementation. This study is relevant as it identifies the level of competency development for the implementation of AI in a local government.
dcterms.extent10 pages
prism.startingpage1860

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