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Consulta aos Conteúdos
Estatística
Título: ARTIFICIAL INTELLIGENCE IN PROJECT MANAGEMENT: MANAGERS PERCEPTION OF RISKS
Autor(es): JOAO VICTOR VIANA NOBRE
Colaborador(es): MARCOS LOPEZ REGO - Orientador
Catalogação: 16/JUL/2024 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: SENIOR PROJECT
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=67355@1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=67355@2
DOI: https://doi.org/10.17771/PUCRio.acad.67355
Resumo:
This study investigates the perception of project managers in the Mediatech sector in Brazil regarding the risks associated with the incorporation of artificial intelligence (AI) into project management practices. With a group of experienced respondents, ranging from five to more than ten years in the field, the research revealed that most have only a basic knowledge of AI. The methodology involved mixed analyses to identify perceptions of technical, ethical, and organizational risks. Among the main findings, concerns about technical failures, improper data collection, and the possibility of biased AI responses stand out. Experienced managers emphasized the need for high-quality data and the alignment of AI with organizational values. Despite risk perceptions, most managers see AI as a useful tool to streamline bureaucratic tasks and allow a greater focus on innovation and leadership. It is concluded that, although managers see AI as having significant potential, they still recommend that its implementation be carefully monitored to minimize risks.
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