Leadership constructs and artificial intelligence: Introducing a novel organizational assessment survey

Abstract

This theoretical paper presents a novel "Kinematic Model" of leadership, designed to capture the dynamic nature of leadership within organizations considering the environments in which they arise amidst the context of continuous change. At the core of every organization are three fundamental components: people, processes, and resources. The leadership landscape consists of 34 distinct constructs, from traditional styles such as transformational and transactional to newer ones like digital and neuroleadership. Leadership operates within varied environments, influenced by internal and external events, as well as the nature and experiences of the individuals and groups comprising organizations. The Kinematic Model integrates these elements into ten domains, emphasizing the need for continuous assessment, adaptability, and balancing people, processes, and resources. Taken together this review provides an orientation and reference to a separate comprehensive survey developed in parallel that provides a framework for any leadership assessment in various organizational settings. In the context of artificial intelligence (AI), its integration into organizations significantly affects leadership dynamics. AI enhances decision-making by analyzing vast data sets, but also risks over-reliance, potentially sidelining human judgment. AI's insights into employee performance might overlook intangible leadership qualities. Additionally, ethical concerns arise with AI in leadership, including workplace surveillance and algorithmic biases. As AI takes on more leadership roles, leaders must adapt, emphasizing vision-setting, relationship-building, and fostering innovation. Leaders must stay updated and adaptable as AI evolves, balancing its capabilities with human insight, ethics, and emotional intelligence.