Emotional Artificial Intelligence in Interpersonal Leadership: Technological Implementation and Social Impact

Eiber, Nils Andreas and Grimm, Rüdiger (2026) Emotional Artificial Intelligence in Interpersonal Leadership: Technological Implementation and Social Impact. In: FEJLŐDÉSI PÁLYÁK ÉS ÚJ TÖRÉSVONALAK A FENNTARTHATÓSÁGI ÁTMENET IDŐSZAKÁBAN : Nemzetközi tudományos konferencia a Magyar Tudomány Ünnepe alkalmából. Soproni Egyetem Kiadó, Sopron, pp. 655-677. ISBN 9789633345795

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Abstract

Modern organisations face increasing social challenges in interpersonal leadership, as leaders must balance social responsibility, fairness and inclusion with the technological developments associated with digital transformation. Previous research on artificial intelligence (AI) in leadership has primarily focused on operational and strategic support, while the role of emotional artificial intelligence (EAI) in interpersonal leadership remains largely unexplored. This study examines how EAI can be integrated into leadership processes and how it influences relational dynamics and emotional well-being. The study applies a content analysis following Mayring and is structured according to a three-phase model of emotional information processing. The first phase is recognition, in which emotional cues are identified through text and speech analysis, facial expression analysis, physiological signals and multimodal emotion recognition. The second phase is processing, during which emotional patterns are classified using machine learning and deep learning methods and linked to leadership-relevant parameters. The third phase is reaction, in which EAI either supports the human leader by providing emotional insights through emotion analytics and feedback systems or operates autonomously by interacting with followers and guiding communicative processes through avatars or robotic systems. The findings highlight important implications for follower acceptance, regulatory requirements, particularly in relation to the EU AI Act, and the broader societal acceptance of EAI in leadership contexts.

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