MAPEANDO A INTERSEÇÃO ENTRE ESG E INTELIGÊNCIA ARTIFICIAL
evidências bibliométricas e perspectivas futuras
Palavras-chave:
Inteligência Artificial, ESG, Sustentabilidade, Bibliometria, Ciência interdisciplinarResumo
A integração entre Inteligência Artificial (IA) e práticas de Environmental, Social and Governance (ESG) tem ganhado destaque na ciência global como resposta à crescente demanda por métricas de sustentabilidade mais robustas, comparáveis e orientadas por dados. Este estudo investiga a evolução da produção científica sobre a interseção entre ESG e IA, utilizando análise bibliométrica aplicada às bases Web of Science e Scopus, no período de 2014 a 2025. A pesquisa resultou em um corpus de 918 artigos, analisados por meio do software R, pacote Bibliometrix a partir da interface Biblioshiny, permitindo identificar padrões de publicação, redes de colaboração, núcleos temáticos e evolução histórica de palavras-chave. Os resultados evidenciam características como crescimento exponencial da literatura a partir de 2020 e produção científica concentrada geograficamente em polos como China, Coreia do Sul, Estados Unidos e Reino Unido. No nível temático, a literatura se estrutura em dois grandes eixos: i) a dimensão corporativa e financeira do ESG; e ii) a dimensão tecnológica. O mapa temático revelou ainda a emergência de frentes ligadas à digitalização, como blockchain e processamento de linguagem natural, com potencial para ampliar a transparência e rastreabilidade das métricas ESG. Conclui-se que a bibliometria fornece uma base estratégica para mapear lacunas e orientar agendas futuras, tendo seu alcance amplificado pelo uso da IA, resultando na construção de métricas ESG mais inclusivas, transparentes e alinhadas às transformações digitais da sustentabilidade contemporânea.
Palavras-chave: Inteligência Artificial, ESG, Sustentabilidade, Bibliometria, Ciência interdisciplinar.
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