Adoção de inteligência artificial em organizações públicas: um estudo de caso
DOI:
https://doi.org/10.24023/FutureJournal/2175-5825/2024.v16i1.860Palavras-chave:
Inteligência artificial, Setor público, Liderança estratégica, Inovação, Adoção de tecnologiaResumo
Objetivo: O estudo explora os principais fatores que influenciam a adoção da IA por organizações públicas e discute a dinâmica da adoção da IA, com o objetivo de identificar os potenciais desafios da integração da IA com considerações ESG.
Originalidade/valor: O estudo aborda a lacuna na compreensão da adoção da IA no setor público no nível da firma, enfatizando os desafios e riscos da integração dessa tecnologia. O estudo contribui sensivelmente para a apropriação social do progresso tecnológico.
Métodos: A metodologia selecionada emprega a análise da literatura em múltiplas etapas, seguida de dez entrevistas e um estudo de caso na Receita Federal do Brasil. Os dados empíricos foram analisados por meio de codificação rigorosa, selecionando os fatores mais impactantes que influenciam a adoção da IA.
Resultados: As conclusões destacam o papel da IA no aumento do desempenho e do alcance dos serviços públicos. No entanto, clama para que a adoção de IA tenha supervisão vigilante, para mitigar os efeitos adversos e as desigualdades potenciais.
Conclusão: O estudo fornece uma estrutura para a adoção eficaz da IA, oferecendo insights para os tomadores de decisão sobre a estratégia de adoção e enfatizando a importância de levar em consideração as preocupações ESG na decisão de adotar esta tecnologia.
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