Palavras-chave
Business Process Management
ISO/IEC 42001
Governança Algorítmica
Explicabilidade
Como Citar
Resumo
Propósito: Este estudo tem como objetivo analisar os principais desafios, oportunidades e estratégias de alinhamento entre as práticas de Business Process Management (BPM) mediadas por Inteligência Artificial (IA) e os requisitos da norma ISO/IEC 42001, buscando compreender como as organizações podem integrar princípios de governança, gestão de riscos e explicabilidade ao BPM para assegurar uma automação responsável, transparente e auditável dos processos de negócio.
Metodologia: A pesquisa adota uma abordagem qualitativa por meio de uma revisão integrativa da literatura estruturada segundo o protocolo PRISMA, com buscas realizadas nas bases Scopus e Web of Science, cobrindo o período de 2015 a 2025 e resultando em um corpus final de 22 artigos que discutem Explainable AI (XAI), mineração de processos, governança algorítmica, conformidade e gestão semântica de dados; a análise de conteúdo seguiu o método de Bardin (2008).
Resultados: Os achados indicam que o alinhamento entre BPM e ISO/IEC 42001 envolve três eixos centrais relacionados à governança e transparência, infraestrutura de dados e semântica e fatores sociotécnicos de adoção, destacando a noção de dupla transparência técnica e operacional e a proposta de uma arquitetura de conformidade em camadas composta por momentos de design-time, run-time e post-hoc apoiada por mineração de processos, supervisão humana e interfaces explicáveis.
Implicações teóricas e práticas: O estudo apresenta um framework teórico e operacional que orienta organizações sobre a incorporação de princípios de governança da IA no desenho, monitoramento e melhoria contínua de processos, contribuindo para fortalecer a auditabilidade, reduzir riscos algorítmicos e aprimorar a responsabilidade corporativa.
Originalidade e valor: O artigo é um dos primeiros a integrar BPM e a ISO/IEC 42001, avançando o debate sobre governança algorítmica ao demonstrar como metodologias orientadas a processos podem apoiar o desenvolvimento de sistemas de IA éticos, transparentes e alinhados à conformidade regulatória.
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