GENERATIVE ARTIFICIAL INTELLIGENCE GOVERNANCE: A STRUCTURAL PRACTICE PERSPECTIVE
Journal
European Conference on Information Systems (ECIS)
Type
conference paper
Date Issued
2026-06-15
Author(s)
Research Team
IWI6
Abstract
We analyzed how eight organizations seek to govern Generative Artificial Intelligence (GenAI). We identified five key governance roles (i.e., technology owner, business owner, knowledge owner, risk and compliance, and end user). Moreover, we showcase that each role controls different resources that
become critical at different lifecycle stages. Specifically, we demonstrate that the focal power dependence relation moves away from “the business depends on engineers to build AI” toward “engineers depend on knowledge owners, risk and compliance, and end users to steer AI.” We further
showcase three organizational coordination mechanisms (i.e., AI Business Unit, AI Squads, and AI Spine) and their respective effectiveness in managing evolving power-dependence relationships in an AI governance context.
become critical at different lifecycle stages. Specifically, we demonstrate that the focal power dependence relation moves away from “the business depends on engineers to build AI” toward “engineers depend on knowledge owners, risk and compliance, and end users to steer AI.” We further
showcase three organizational coordination mechanisms (i.e., AI Business Unit, AI Squads, and AI Spine) and their respective effectiveness in managing evolving power-dependence relationships in an AI governance context.
Language
English
Keywords
Artificial Intelligence Governance
Generative Artificial Intelligence
Artificial Intelligence Frontier
Power Dependence Relationship
Structural Artificial Intelligence Governance Practices
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher place
Milano, Italy
Pages
15
Event Title
European Conference on Information Systems (ECIS)
Event Location
Milano, Italy
Event Date
15.06.2026
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
Name
JML_1054.pdf
Size
616.98 KB
Format
Adobe PDF
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