NEUROCOGNITIVE PROCESSES AND ARTIFICIAL INTELLIGENCE TO STRENGTHEN SUSTAINABLE MANAGERIAL SKILLS

• DOI: 10.37572/EdArt_2809262849

• Palavras-chave: Neurocognitive processes, artificial intelligence, sustainable management, explainable AI, strategic decision-making.

• Keywords: Neurocognitive processes, artificial intelligence, sustainable management, explainable AI, strategic decision-making.

• Abstract:

  This study analyzes the convergence between neurocognitive processes and artificial intelligence as a strategic approach to strengthening sustainable managerial competencies and improving decision-making in organizational contexts characterized by uncertainty, information overload, technological transformation, and growing economic, social, and environmental demands. The study adopts a qualitative analytical approach based on the integration of theoretical and empirical evidence concerning executive cognitive control, cognitive load, explainable artificial intelligence, algorithmic governance, multi-criteria decision-making, Green AI, digital twins, and hybrid work environments. The findings suggest that combining neurocognitive principles with explainable artificial intelligence can contribute to more stable, traceable, and coherent managerial decisions by reducing unnecessary cognitive load, communicating uncertainty, facilitating actionable explanations, and preserving meaningful human control. Likewise, multi-criteria decision frameworks enable organizations to incorporate economic, social, and environmental objectives through explicit value functions, stakeholder participation, sensitivity analysis, and auditable decision criteria. The analysis also indicates that Green AI practices, including model compression, carbon-aware computing, and energy-efficient infrastructure, can align technological performance with environmental sustainability. Finally, algorithmic governance, lifecycle documentation, risk assessment, and continuous monitoring emerge as essential mechanisms for ensuring accountability, transparency, and responsible adoption of artificial intelligence. The study concludes that the integration of neurocognitive foundations, responsible artificial intelligence, sustainable computational practices, and dynamic organizational learning constitutes a relevant framework for developing managerial competencies capable of supporting sustainable and evidence-based strategic decision-making.