The AI Governance Framework
Key premises
- Provides a practice-oriented and systematic approach to AI governance, covering the entire AI system lifecycle, from development to operation. The framework aligns governance tasks with the OECD’s AI system lifecycle model.
- Supports compliance with the European Union’s AI Act, making it particularly relevant for organizations engaged in in-house AI development in high-risk areas. The framework also serves as a practical guide for advancing responsible AI practices more broadly.
- Offers a flexible structure to support decision-makers in addressing critical questions about AI use. The framework helps organizations design and implement socially and ethically responsible AI practices.
Overview
The AI Governance Framework is a product of rigorous research conducted as an academy-industry collaboration at Turku School of Economics. The following paper describes the framework and its scholarly foundation.
Citation: Mäntymäki, M., Minkkinen, M., Birkstedt, T., & Viljanen, M. (2022). Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance (arXiv:2206.00335). arXiv. https://doi.org/10.48550/arXiv.2206.00335
Explore the AI Governance Framework
The AI governance framework consists of three layers: environmental, organizational and AI system. Each layer contains a set of governance components and processes.
