Artificial Intelligence Governance For Businesses
Zusammenfassung
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.
Schlüsselwörter
Artificial intelligence; machine learning; IT governance; model governance; data governance; governance framework
Zitieren als
Schneider, J., Abraham, R., Meske, C., & vom Brocke, J. (2023). Artificial Intelligence Governance For Businesses. Information Systems Management, 40(3), 229–249.Details
Publikationstyp
Forschungsartikel (Zeitschrift)
Begutachtet
Ja
Publikationsstatus
Veröffentlicht
Jahr
2023
Fachzeitschrift
Information Systems Management
Band
40
Ausgabe
3
Erste Seite
229
Letzte Seite
249
ISSN
1058-0530
DOI