HEИндивидуална стипендия2022–2024

AIITL · AI IN THE LEAD? WHEN, WHY, AND HOW AI LEADERSHIP WILL (NOT) WORK

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период: 2022-11-15 → 2024-11-14
Финансиране от ЕС: 203 464 €
Участници: 1
Схема: HORIZON-TMA-MSCA-PF-EF

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Накратко на български

Изкуственият интелект се изследва като потенциален лидер, който да мотивира екипи или влияе върху представянето им. Това помага да се разбере как хората ще приемат работата под управлението на алгоритми в бъдещите работни места.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

AI IN THE LEAD? WHEN, WHY, AND HOW AI LEADERSHIP WILL (NOT) WORK

Artificial Intelligence (AI) is rapidly changing how organizations operate and how people work. One of the most intriguing and challenging developments is the possibility that AI could not only assist or cooperate with but also lead humans in formal or informal leadership roles. This raises important questions: Under what conditions would people accept AI as a leader? And what are the psychological, social, and organizational effects of such a shift? The project "AI IN THE LEAD? WHEN, WHY, AND HOW AI LEADERSHIP WILL (NOT) WORK" explored these questions by examining whether, when, and how AI systems can take on leadership functions—such as motivating teams, building relationships, and influencing performance—and under which circumstances this would be helpful or harmful. As AI moves into roles traditionally associated with human judgment and social interaction, understanding its leadership potential is essential for navigating the future of work. Understanding how AI impacts leadership dynamics is essential not only for researchers and businesses, but also for educators, policymakers, and designers of future workplace technologies. The project focused on three main goals: 1. To study how different AI leadership styles (such as charismatic or relationship-oriented) affect employees’ motivation, satisfaction, and performance. 2. To examine how these effects change based on the type of task and how long people interact with the AI. 3. To identify individual and situational differences—such as trust in AI, worker age, or experience—that shape how people respond to AI-led leadership. Rooted in psychology, organizational behavior, management, and computer science, the project connects directly to EU strategic priorities under “A Europe Fit for the Digital Age” and “An Economy that Works for People.” It aims to support the ethical, human-centered use of AI in leadership, ensuring future technologies promote trust, fairness, and well-being at work.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Millions of employees around the globe work for an AI manager that structures their tasks and monitors their performance. While companies hope that such AI managers will lead to substantial performance benefits, it is critical that AI transits from a bureaucratic manager to an inspiring, transformational leader if companies want employee performance and satisfaction to peak. To date, however, research on the consequences of AI leadership cannot give relevant insights because scholars have studied employees in hypothetical scenarios or simplistic environments that do not mirror the complex realities of contemporary workplaces. My goal within the Marie Skłodowska-Curie Fellowship is to tackle these problems by investigating interactions between employees and AI leaders from an interdependence theory view. Across two empirical studies with more than 1,400 employees, I will examine how AI leaders (programmed via a novel natural language processing tool) affect employees’ task performance and satisfaction when they really interact with AI leaders across interdependent tasks, different leadership styles, and work constellations. Given the rise of AI managers within Europe, this research will provide relevant scientific, practice, and policy insights aimed at sustaining a high-performing and satisfied European workforce of the future. I will accomplish these ambitious goals by combining my expertise with the profound knowledge of interdependence theory and longitudinal methods from Maastricht University’s scholars. In sum, this action and the foreseen two top-tier publications will substantially advance my research (both theory and methods) skills and extend my professional and practice network. Maastricht University is an ideal fit for this fellowship that will be a significant boost for my academic career and will provide a cornerstone for becoming a mature and renowned scientist in the field of AI leadership, in particular, and organizational behavior, in particular.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITEIT MAASTRICHT · MaastrichtКоординаторНидерландия