How AI governance is used
AI visibility
Drive AI visibility for stakeholders
Dynamic and customizable dashboards provide real-time model status and facilitate stakeholder collaboration for decision-making.
Enterprise AI monitoring
Monitor AI activities enterprise-wide
Trace and document the origin of models, the techniques used to train them, and any associated metadata needed for audits.
Manage risk and regulation
Simplify risk and regulation management
Use a unified and automated GRC platform that runs on any cloud and is designed to identify, manage, monitor and report on risk and regulatory compliance.
Benefits of AI governance
Operationalize AI governance
Trace and document the origin of datasets, models, associated metadata and pipelines at scale.
Manage risk with responsible AI
Monitor AI models for fairness, bias and drift that automatically identify the need for correction.
Protect against regulations at scale
Use protections and validation to ensure machine learning (ML) models in production are fair, transparent and explainable.
Satisfy ever-increasing stakeholders
Use automated and collaborative tools to shorten processes and increase AI lifecycle visibility.
Optimize AI strategy and planning
Increase efficiency and create balance across people, processes and AI technologies.
Scale your enterprise AI capabilities
Explore how to operationalize AI across an organization in the latest Data Differentiator chapter
Capabilities of AI governance
Lifecycle governance
Catalog and monitor AI models with metadata capture, success identification and the ability to determine remediation initiatives.
Risk management
Automate, identify, monitor and report on facts and workflows at scale, mitigating bias and drift to manage AI risk.
Regulatory compliance
Translate external AI regulations into policies for automated enforcement. Use customizable dashboards to improve stakeholder collaboration.
AI governance case studies
Learn how IBM customers are using AI governance to create innovative solutions.
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News and events
Resources
AI governance overview
Discover how AI governance helps organizations build explainable, transparent and trusted AI.
Your organization needs responsible AI
Understand three key steps to driving driving explainable, transparent and responsible AI.
AI Governance: Break open the black box
Learn how AI delivers insights, amplifies human capabilities, decreases risk and increases ROI.
Explainable AI on IBM Cloud Pak for Data
Learn how to break down barriers to enterprise AI.
IBM Global AI Adoption Index 2022
Review insights into overall global AI adoption as well as upcoming trends and challenges.
AI ethics in action
See how organizations can distinguish themselves with a strategic approach to ethical principles in AI.
Deployment options
AI Governance on IBM Cloud Pak for Data as a Service
Start building your data fabric architecture in the cloud.
AI Governance Express on IBM Cloud Pak for Data Software
Accelerate the data fabric architecture for on-premises customers with our express solutions.