Designing an AI Governance Framework: From Research-Based Premises to Meta-Requirements
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Authors
The development and increasing use of artificial intelligence (AI), particularly in high-risk application areas, calls for attention to the governance of AI systems. Organizations and researchers have proposed AI ethics principles, but translating principles into practice-oriented frameworks has proven difficult. This paper develops meta-requirements for organizational AI governance frameworks to help translate ethical AI principles into practice and align operations with the forthcoming European AI Act. We adopt a design science research approach. We put forward research-based premises, then we report the design method employed in an industry-academia research project. Based on these, we present seven meta- requirements for AI governance frameworks. The paper contributes to the IS research on AI governance by collating knowledge into meta-requirements and advancing a design approach to AI governance. The study underscores that governance frameworks need to incorporate the characteristics of AI, its contexts, and the different sources of requirements.
Originalsprache | Englisch |
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Titel | ECIS 2023 Proceedings |
Herausgeber | Margunn Aanestad, Stefan Klein, Monideepa Tarafdar |
Anzahl der Seiten | 18 |
Verlag | Association for Information Systems |
Erscheinungsdatum | 11.05.2023 |
Publikationsstatus | Erschienen - 11.05.2023 |
Veranstaltung | European Conference on Information Systems 2023: Co-creating Sustainable Digital Futures - University of Agder, Kristiansand, Norwegen Dauer: 11.06.2023 → 16.06.2023 Konferenznummer: 31 https://ecis2023.no |
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