Artificial Intelligence Governance For Businesses
Abstract
While artificial intelligence (AI) governance is thoroughly discussed on a philosophical, societal, and regulatory level, few works target companies. We address this gap by deriving a conceptual framework from literature. We decompose AI governance into governance of data, machine learning models, and AI systems along the dimensions of who, what, and how ?is governed.? This decomposition enables the evolution of existing governance structures. Novel, business-specific aspects include measuring data value and novel AI governance roles.
Keywords
Artificial intelligence; machine learning; IT governance; model governance; data governance; governance framework
Cite as
Schneider, J., Abraham, R., Meske, C., & vom Brocke, J. (2023). Artificial Intelligence Governance For Businesses. Information Systems Management, 40(3), 229–249.Details
Publication type
Research article (journal)
Peer reviewed
Yes
Publication status
Published
Year
2023
Journal
Information Systems Management
Volume
40
Issue
3
Start page
229
End page
249
ISSN
1058-0530
DOI