The capability of watsonx.governance that most directly supports responsible AI monitoring is its AI model monitoring and risk management features, primarily delivered through IBM OpenScale. This includes evaluating and monitoring AI models for health, accuracy, bias, drift, and other risks with preset thresholds and real-time detection, helping ensure AI systems adhere to responsible AI principles. The solution also provides automation for transparency, explainability, and compliance with governance policies throughout the end-to-end AI lifecycle, allowing organizations to track and mitigate AI risks responsibly and at scale.
Key supporting features are:
- Monitoring for fairness, bias, and drift.
- Real-time risk detection and mitigation.
- Automated collection of model metadata via factsheets.
- Governance workflows with approvals, reports, and dashboards.
- Extending responsible AI practices from model development to production use.
These capabilities collectively form the basis of responsible AI monitoring within watsonx.governance.
