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.

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Governance and Management of AI

  • Nils Urbach,
  • Daniel Feulner,
  • Simon Feulner,
  • Moritz Schüll,
  • Valentin Mayer

摘要

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.