Metagovernança e Inteligência Artificial no setor público
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https://doi.org/10.21874/e606pf49Palavras-chave:
metagovernança, inteligência artificial, setor públicoResumo
A crescente demanda por inovação e eficiência tem impulsionado o uso de estratégias como a metagovernança e a Inteligência Artificial (IA) no setor público. No entanto, ainda são limitados os estudos que sistematizam os benefícios e os desafios associados à aplicação conjunta dessas abordagens. Objetivo: O objetivo foi mapear e analisar os principais benefícios e desafios relacionados à utilização da metagovernança e da IA na melhoria da governança e da tomada de decisão no setor público. Materiais e métodos: Trata-se de um Mapeamento Sistemático da Literatura (MSL) baseado no método Population, Intervention, Comparison, Outcome e Context (PICOC). As buscas foram realizadas na base Scopus, e a organização dos dados foi conduzida com o apoio da ferramenta Parsifal. A seleção e análise dos estudos seguiram o protocolo Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), resultando na inclusão de 22 artigos publicados entre 2014 e 2024. Resultados: Os achados indicam que a metagovernança e a IA são estratégias complementares na transformação digital do setor público, embora enfrentem barreiras como a opacidade algorítmica, a escassez de capacitação técnica e a ausência de regulamentação específica. Conclusão: A sinergia entre essas estratégias pode fortalecer a governança pública, promovendo decisões mais eficazes, transparentes e orientadas por evidências.
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