PUBLIC POLICIES FOR THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE IN BRAZIL

Authors

  • Paulo Cesar Leite Esteves Universidade Federal de Santa Catarina
  • Jonas Goulart Universidade Federal de Santa Catarina
  • Paulo Goulart Universidade Federal de Santa Catarina
  • Matheus Venos da Silva Cataneo Universidade Federal de Santa Catarina

Keywords:

Public Policies, Artificial Inteligence, Innovation

Abstract

This article presents an analysis of public policies for the development of Artificial Intelligence in Brazil and proposes a reflection on the creation and implementation of this type of policy inview of the exponential development of these technologies and the security of users and systems. To this end, a methodology is used based on a theoretical framework with bibliographic and documentary research regarding concepts such as Innovation, Artificial Intelligence and Public Policies. The qualitative analysis is carried out on the aspects of promoting the development of AI in Brazil, resulting in an overview of this process in the country.

Author Biographies

Jonas Goulart, Universidade Federal de Santa Catarina

estrando do Programa de Pós-Graduação em Tecnologias da Informação e Comunicação da Universidade Federal de Santa Catarina - Campus de Araranguá. Possui graduação em Gestão Pública pelo Centro Universitário Internacional (2019), além de Especialização em Gestão Pública na Educação Superior Tecnológica pelo Instituto Federal de Santa Catarina - IFSC(2020), Especialização em Ciências Humanas e Sociais Aplicadas e o Mundo do Trabalho - UFPI(2022) e MBA em Gestão Estratégica e Inovação - Faculdade Focus(2023). Atualmente é Assistente em Administração na Universidade Federal de Santa Catarina - Campus Araranguá, onde atua na Coordenadoria de Serviços Integrados de Administração e Planejamento.

Paulo Goulart, Universidade Federal de Santa Catarina

Possui graduação em Processos Gerenciais pela Universidade Norte do Paraná (2011). Atualmente é Técnico de TI da Universidade Federal de Santa Catarina. Cursando disciplinas isoladas no Programa de Pós-Graduação em Tecnologias da Informação e Comunicação - PPGTIC/UFSC

Matheus Venos da Silva Cataneo, Universidade Federal de Santa Catarina

Possui curso Técnico em Informática pela instituição CEDUP Abílio Paulo em Criciúma, e Bacharel de Tecnologias da Informação e Comunicação pela UFSC Araranguá. Atuei como bolsista voluntário do Laboratório de experimentação remota (RExLab), atualmente sou Desenvolvedor Back-End Sênior na Softplan e Bolsista LabTeC-UFSC..

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Published

2023-11-21

How to Cite

Esteves, P. C. L., Goulart, J. ., Goulart, P. ., & Cataneo, M. V. da S. . (2023). PUBLIC POLICIES FOR THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE IN BRAZIL. International Congress of Knowledge and Innovation - Ciki, 1(1). Retrieved from https://proceeding.ciki.ufsc.br/index.php/ciki/article/view/1421

Issue

2023: Proceedings of the XIII International Congress on Knowledge and Innovation (ciKi) - Preliminary Version

Section

Full Paper

License

Copyright (c) 2023 International Congress of Knowledge and Innovation

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