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AI Governance

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.

Comparison of governance solutions

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.
Generative AI search and answer
These answers are generated by a large language model in watsonx.ai based on content from the product documentation. Learn more