Zárate-Torres Rodrigo, Rey-Sarmiento C Fabiola, Acosta-Prado Julio César, Gómez-Cruz Nelson Alfonso, Rodríguez Castro Dorys Yaneth, Camargo José
Colegio de Estudios Superiores de Administración-CESA, Bogotá 110311, Colombia.
Departamento de Ingeniería, Pontificia Universidad Católica del Perú, Lima 15088, Peru.
Behav Sci (Basel). 2025 Jun 27;15(7):873. doi: 10.3390/bs15070873.
This study proposes a conceptual model that explains the influence of leadership on the relationship between human intelligence (HI) and artificial intelligence (AI). A qualitative, non-systematic literature review was conducted in Scopus and Web of Science of the literature published in the last 5 years, using Boolean combinations of the terms "leadership," "artificial intelligence," and "human intelligence." The thematic analysis allowed the identification of conceptual patterns and research gaps; the model elaborated from the review shows that leadership has an ethical and strategic mediation in the HI-AI relationship in a hybrid space of cooperation, in which automated decisions are put in real context through human judgment and reasoning; ethical governance mechanisms emerge for systems supported by artificial intelligence; and finally, a balancing mechanism to algorithmic efficiency is established through cognitive adaptability. The proposed framework offers organizations some guidelines for human supervision processes for AI-supported systems that integrate ethical evaluations into automated processes. It proposes elements-leadership tools that enhance the relationship between human intelligence and artificial intelligence. This article contributes to the management of organizations by proposing a model that recognizes leadership as a dynamic facilitator between HI and AI, integrating transdisciplinary knowledge of management, technological ethics, and cognitive science, and proposing an ethical interrelationship in the decision-making architectures between HI and AI. The proposed model establishes leadership mediation of human-AI interaction through four axes showing how leadership acts as the axis that brings together human and technological systems to work together. Hierarchical interaction creates a hybrid interaction that is highly flexible, efficient, and has ethical oversight. Finally, the proposed model is an open system that interacts with the environment and is understood as a flexible tool to support strategic decision-making in complex environments.
本研究提出了一个概念模型，用以解释领导力对人类智能（HI）与人工智能（AI）之间关系的影响。我们在Scopus和Web of Science数据库中对过去5年发表的文献进行了定性的、非系统性的文献综述，使用了“领导力”“人工智能”和“人类智能”等术语的布尔组合。主题分析有助于识别概念模式和研究空白；从综述中构建的模型表明，在合作的混合空间中，领导力在HI - AI关系中具有伦理和战略调解作用，在这个空间里，自动化决策通过人类判断和推理被置于实际情境中；出现了针对人工智能支持系统的伦理治理机制；最后，通过认知适应性建立了算法效率的平衡机制。所提出的框架为组织提供了一些关于人工智能支持系统的人工监督流程的指导方针，这些流程将伦理评估整合到自动化过程中。它提出了一些要素——领导力工具，以增强人类智能与人工智能之间的关系。本文通过提出一个将领导力视为HI和AI之间动态促进者的模型，为组织管理做出了贡献，该模型整合了管理、技术伦理和认知科学的跨学科知识，并提出了HI和AI之间决策架构中的伦理相互关系。所提出的模型通过四个轴建立了人类与人工智能交互的领导力调解，展示了领导力如何作为将人类和技术系统聚集在一起协同工作的轴。分层交互创造了一种高度灵活、高效且具有伦理监督的混合交互。最后，所提出的模型是一个与环境相互作用的开放系统，被理解为支持复杂环境中战略决策的灵活工具。
