Inteligência Artificial Generativa (IAG): perspectivas inéditas no controle público

In the wake of an increasingly digital government, the volume, variety, and velocity of information are only growing, giving rise to a phenomenon called dark data. This phenomenon occurs when the capacity to produce/store this information exceeds the capacity for curation or analysis. The consequences of dark data affect the decision-making of public managers and represent risks of non-compliance with regulations. In the function of public control, the risks are even greater, as how can one guide or detect irregularities in a scenario that requires a quick response due to the speed of data, the large volume, and the high variety of data structures? To address this issue, this work presents an innovative perspective on the use of generative artificial intelligence to be applied in public control in various scenarios mapped by the Court of Auditors of Santa Catarina – “TCE/SC.

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Publication Details

Journal
Revista do Tribunal de Contas do Estado de Santa Catarina
Published
2024-09-06
DOI
https://doi.org/10.52028/tce-sc.v02.i03.art08.sc
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Inteligência Artificial Generativa (IAG): perspectivas inéditas no controle público

Alessandro Marinho de Albuquerque, Igor May Wensing, Nelson Luiz Joppi Filho
Revista do Tribunal de Contas do Estado de Santa Catarina
Big Data and Business Intelligence
article

Inteligência Artificial Generativa (IAG): perspectivas inéditas no controle público

Alessandro Marinho de Albuquerque, Igor May Wensing, Nelson Luiz Joppi Filho
article en

Abstract

In the wake of an increasingly digital government, the volume, variety, and velocity of information are only growing, giving rise to a phenomenon called dark data. This phenomenon occurs when the capacity to produce/store this information exceeds the capacity for curation or analysis. The consequences of dark data affect the decision-making of public managers and represent risks of non-compliance with regulations. In the function of public control, the risks are even greater, as how can one guide or detect irregularities in a scenario that requires a quick response due to the speed of data, the large volume, and the high variety of data structures? To address this issue, this work presents an innovative perspective on the use of generative artificial intelligence to be applied in public control in various scenarios mapped by the Court of Auditors of Santa Catarina – “TCE/SC.

Revista do Tribunal de Contas do Estado de Santa CatarinaVol. 02(03)
Openalex Percentile: Top 78%
Big Data and Business Intelligence
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Inteligência Artificial Generativa (IAG): perspectivas inéditas no controle público — Alessandro Marinho de Albuquerque, Igor May Wensing, et al. · Revista do Tribunal de Contas do Estado de Santa Catarina (2024) | TGRS Research Map | TGRS