A4 Refereed article in a conference publication
Generative AI for Visionary Leadership - Desirability and Feasibility Assessments from an Expert Survey
Authors: Villman, Tero; Kaivo-oja, Jari
Editors: Stephanidis, Constantine; Antona, Margherita; Ntoa, Stavroula; Salvendy, Gavriel
Conference name: International Conference on Human-Computer Interaction
Publisher: Springer Science and Business Media Deutschland GmbH
Publication year: 2024
Journal: Communications in Computer and Information Science
Book title : HCI International 2024 Posters : 26th International Conference on Human-Computer Interaction, HCII 2024, Washington, DC, USA, June 29 – July 4, 2024, Proceedings, Part V
Journal name in source: Communications in Computer and Information Science
Issue: 2118
First page : 79
Last page: 91
ISBN: 978-3-031-61962-5
eISBN: 978-3-031-61963-2
ISSN: 1865-0929
eISSN: 1865-0937
DOI: https://doi.org/10.1007/978-3-031-61963-2_9
Web address : https://doi.org/10.1007/978-3-031-61963-2_9
The integration of artificial intelligence (AI) into various areas of management has become a subject of growing interest. Various applications of generative AI potentially transform many types of business and managerial tasks in the future, possibly leading to deepened human–computer interactions and relationship between leadership and technology particularly with the combination of human and artificial intelligence. A yet-to-be-explored application area for generative AI in management is visionary leadership and strategic decision-making. Modern organizations and society at large urgently require visions for the future addressing complex challenges, offering alternative pathways, inspiring commitment, and empowering action, while enabling flexibility and adaptability. Recognizing the transformative potential of generative AI and the different aspects of visionary leadership, we explore the potential and application areas of generative AI for visionary leadership through a survey. We collected insights from 25 management, leadership, AI, and foresight experts to discover the potential and limitations of generative AI for the five domains of visionary leadership: (1) Vision Formulation, (2) Vision Communication, (3) Vision Integration, (4) Vision Realization, and (5) Vision Learning. The results suggest that Vision Communication and Vision Learning are the domains with the highest and Vision Formulation with the lowest potential for generative AI applications according to desirability and feasibility analyses. Previous studies of visionary leadership have not examined the role of technology, moreover the role of generative AI for visionary leadership. Thus, this pilot study can be viewed as an opening to this emerging research avenue, and an expansion to existing visionary leadership research.
