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Exploring the potential of Artificial Intelligence in system mapping
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Orientador(es)
Resumo(s)
Rapid population growth, inequalities, and technological disruption create interconnected societal
challenges driven by dynamic interactions among social, technological, and environmental factors.
System mapping, while vital for understanding these complexities, is resource intensive.
Generative AI (GenAI) can potentially accelerate the study of such issues, though its practical
application remains underexplored. This research employs a mixed-methods approach to examine
GenAI's role in system mapping, identifying three dimensions: the potentials of GenAI in system
mapping, its challenges and limitations, and the benefits of managing complexity through Human AI Collaboration. These findings provide a foundation for further exploration and practical
applications in addressing complex problems.
Descrição
Palavras-chave
Generative AI Systems thinking System mapping Participatory modelling