Artificial Intelligence Governance For Businesses

Schneider J; Abraham R; Meske C; vom Brocke J


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



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