Designing an AI Governance Framework: From Research-Based Premises to Meta-Requirements

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review


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.
Original languageEnglish
Title of host publicationECIS 2023 Proceedings
EditorsMargunn Aanestad, Stefan Klein, Monideepa Tarafdar
Number of pages18
PublisherAssociation for Information Systems
Publication date11.05.2023
Publication statusPublished - 11.05.2023
EventEuropean Conference on Information Systems 2023: Co-creating Sustainable Digital Futures - University of Agder, Kristiansand, Norway
Duration: 11.06.202316.06.2023
Conference number: 31

    Research areas

  • Business informatics - Responsible Artificial Intelligence, Artificial Intelligence, IT Governance, Design Science Research