AI Governance
AI Governance is a set of tools and capabilities for managing your AI assets in accordance with your organization's regulations and requirements. Use the integrated toolkit provided with watsonx.governance to track generative AI assets and machine-learning models from request to production, evaluate assets to meet compliance goals, and review governance activities from a common console. Or, combine individual services to govern machine learning assets.
AI Governance solutions
Consider these options for your governance needs:
- Use the watsonx.governance service as an integrated set of tools that combines and extends the capabilities of AI Factsheets, Watson OpenScale, and IBM OpenPages to include governance for foundation model assets such as prompt templates for generative AI models as well as machine learning models.
- With the AI Governance solution, install any combination of the AI Factsheets, Watson OpenScale, and IBM OpenPages services to govern machine learning models.
Feature differences for governance solutions
Feature | AI Governance | watsonx.governance |
---|---|---|
Create AI use case | ✓ | ✓ |
Track IBM machine learning model | ✓ | ✓ |
Track external (third-party) machine learning model | ✓ | ✓ |
Track generative AI prompt template curated by watsonx.ai | ✓ | |
Evaluate IBM machine learning asset | ✓ | ✓ |
Evaluate external (third-party) machine learning asset | ✓ | ✓ |
Evaluate foundation model asset | ✓ | |
Evaluate external (third-party) foundation model asset | ✓ | |
Manage approval workflow | ✓ | ✓ |
Monitor machine learning governance from a common console | ✓ | ✓ |
Monitor foundation model governance from a common console | ✓ | |
Required services 4.8.3 and later |
Watson OpenScale IBM OpenPages AI Factsheets |
watsonx.governance watsonx.ai |
Required services 4.8.2 and earlier |
IBM Knowledge Catalog or Watson Studio Watson OpenScale IBM OpenPages AI Factsheets |
Next steps
- Plan your governance strategy
- Review the Risk Atlas to learn about the potential risks of working with AI models. The Risk Atlas provides a guide to understanding some of the risks of working with AI models, including generative AI, foundation models, and machine learning models. In addition to describing potential risks, it provides real-world context. It is intended as an educational resource and is not meant as a prescriptive tool.