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 linked to the AI system lifecycle.
The Hourglass Model
The Hourglass Model describes the overall structure of the AI Governance framework.
AI Governance Lifecycle
The AI governance tasks are mapped to the OECD’s AI system lifecycle framework.
AI Governance Task List
The AI Governance Framework lists tasks to support organizational AI governance.