Governance and Management of AI

Nils Urbach (), Daniel Feulner (), Simon Feulner (), Moritz Schüll () and Valentin Mayer ()
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Nils Urbach: Frankfurt University of Applied Sciences
Daniel Feulner: University of Bayreuth
Simon Feulner: Frankfurt University of Applied Sciences
Moritz Schüll: University of Bayreuth
Valentin Mayer: University of Bayreuth

Chapter 9 in Managing Artificial Intelligence, 2026, pp 181-210 from Springer

Abstract: Abstract This chapter explores governance mechanisms that support the safe and effective use of AI as well as presents a method for transforming existing governance approaches in response to the rise of AI. Building on this foundation, the chapter then introduces the AI application management (AIAMA) model as a comprehensive framework for managing the AI lifecycle in alignment with governance principles and organizational goals. It outlines core management dimensions of AI, including technical, process-related, and user-centered aspects, and explains how these are coordinated through integration management. Finally, the chapter discusses the design of organizational structures for organizing AI efforts, including centers of excellence, cross-functional, virtual, and matrix teams.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-032-13308-3_9

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DOI: 10.1007/978-3-032-13308-3_9

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