The AI Governance Lifecycle
The AI governance tasks are mapped to the OECD’s AI system lifecycle framework.
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
Scroll down for an explanation of the AI Governance Lifecycle
The columns represent the lifecycle stages for
different AI governance tasks.
- These include:
- 1a) Planning and design
- 1b) Data collection and preprocessign
- 1c) Model building and interpretation
- 2) Verification and validation
- 3) Deployment
- 4) Operation and monitoring
![](https://ai-governance.eu/wp-content/uploads/2022/11/AIGF_life_cycle_v11.0_OECD-Life-cycle-phases.drawio-1024x468.png)
![](https://ai-governance.eu/wp-content/uploads/2022/11/AIGF_life_cycle_v11.0_OECD-AI-governance-components.drawio-1024x463.png)
The rows represent different task categories.
The individual AI governance tasks from different categories are mapped along the lifecycle stages.
In total, there are 67 tasks.
![](https://ai-governance.eu/wp-content/uploads/2022/11/AIGF_life_cycle_v11.0_OECD-Tasks.drawio-1024x457.png)