Last updated: Oct 25, 2024
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 to track AI assets from request to production, evaluate assets to meet compliance goals, and review governance activities from a common console.
AI Governance solutions
Use these tools to meet your compliance goals:
- OpenScale provides tools for configuring monitors that evaluate your deployed assets against thresholds you specify. For example, you can configure a threshold that alerts you when predictive machine learning models perform below a specified threshold for fairness in monitored outcomes, or drift from accuracy. A Model Health monitor provides real-time performance tracking for deployed models.
- AI Factsheets collects the metadata for machine learning models you explicitly track. Develop AI use cases to gather all of the information for managing a model from the request phase through development and into production. Manage multiple versions or a model, or compare different approaches to solving a business problem within a use case. Factsheets display information about the models including creation information, data that is used, and where the asset is in the lifecycle.
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Learn about watsonx.governance plans.