How AI governance is used

AI visibility

Dashboard displaying information from a data analysis of a mortgage application

Drive AI visibility for stakeholders

Dynamic and customizable dashboards provide real-time model status and facilitate stakeholder collaboration for decision-making.

Enterprise AI monitoring

Dashboard displaying the mortgage approval catalog

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

Dashboard displaying a conceptual map about Loan Automation use case

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

Icon representing Benefits of AI governance

Trace and document the origin of datasets, models, associated metadata and pipelines at scale.

Manage risk with responsible AI

Icon representing 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

Icon representing 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

Icon representing Satisfy ever-increasing stakeholders

Use automated and collaborative tools to shorten processes and increase AI lifecycle visibility.

Optimize AI strategy and planning

Icon representing 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.

Get the trial at no cost

Automate AI governance.


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.

Read the blog →

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.