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

dc.contributor.author Millan Vargas, Adrian
dc.contributor.author Sandoval-Almazán, Rodrigo
dc.date.accessioned 2023-12-26T18:37:43Z
dc.date.available 2023-12-26T18:37:43Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 520d4ecb-7461-4986-8a36-300edc32979d
dc.identifier.uri https://hdl.handle.net/10125/106612
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject AI in Government
dc.subject artificial intelligence
dc.subject competencies
dc.subject local government
dc.subject perceptions
dc.subject public managers
dc.title Public managers perception on artificial intelligence: the case of the State of Mexico
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract The 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.extent 10 pages
prism.startingpage 1860
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