Designing an AI Governance Framework: From Research-Based Premises to Meta-Requirements
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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ECIS 2023 Proceedings. ed. / Margunn Aanestad; Stefan Klein; Monideepa Tarafdar. The Association for Information Systems (AIS), 2023. (European Conference on Information Systems (ECIS) Proceedings; Vol. 2023).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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RIS
TY - CHAP
T1 - Designing an AI Governance Framework
T2 - European Conference on Information Systems 2023
AU - Mäntymäki, Matti
AU - Minkkinen, Matti
AU - Zimmer, Markus Philipp
AU - Birkstedt, Teemu
AU - Viljanen, Mika
N1 - Conference code: 31
PY - 2023/5/11
Y1 - 2023/5/11
N2 - 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.
AB - 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.
KW - Business informatics
KW - Responsible Artificial Intelligence
KW - Artificial Intelligence
KW - IT Governance
KW - Design Science Research
UR - https://aisel.aisnet.org/ecis2023/
M3 - Article in conference proceedings
T3 - European Conference on Information Systems (ECIS) Proceedings
BT - ECIS 2023 Proceedings
A2 - Aanestad, Margunn
A2 - Klein, Stefan
A2 - Tarafdar, Monideepa
PB - The Association for Information Systems (AIS)
Y2 - 11 June 2023 through 16 June 2023
ER -