The AIGA AI Governance Framework
Key premises
- A practice-oriented framework for implementing responsible AI. With it, organizations can adopt a systematic approach for AI governance that covers the entire process of AI system development and operations. The AI governance tasks are mapped to the OECD’s AI system lifecycle framework.
- Supports compliance with the upcoming European AI regulation (the AI Act, under preparation). This makes it relevant for organizations that conduct in-house AI system development, particularly in high-risk application areas . Furthermore, the framework serves as a practical guide for any organization taking steps towards more responsible AI.
- Provides a template for decision-makers to address the key questions on the use of AI. Organizations may apply the framework to design and implement practices for using AI in a socially and ethically responsible manner.
- Is value-agnostic. It does not give priority to any particular ethical stance but is designed to facilitate the development and deployment of transparent, accountable, fair, and non-maleficent AI systems.
Background
The AIGA AI Governance Framework is based on scientific work conducted as an academy-industry collaboration.
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 AIGA AI Governance Framework
The AI governance framework consists of three layers: environmental, organizational and AI system. Each layers 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.
Practical to-do list
The AIGA AI Governance Framework lists 67 tasks to support organizational AI governance.