AI Governance uses the Collibra Assessments app and features to surface important considerations and enable stakeholders to add essential details to your AI models and AI use cases, and document associated risks.
Note This section of the documentation addresses only the AI Governance-specific aspects of the Assessments app. For complete information on working with assessments, including assessment templates and the Assessments Approval workflow, go to Collibra Assessments.
Assessment types
Collibra Assessments comes with the following out-of-the-box assessment types, or templates.
Note Collibra assessment templates are shown only if the Show out of the box templates setting is enabled in Collibra Console or Collibra settings.
| Type | Template | Associated asset type* | Description |
|---|---|---|---|
| AI Governance | Business Context | AI Use Case | Allows you to provide details about how your AI use case will impact the business. Your organization will use this information to understand the business needs and requirements associated with implementing your AI use case. |
| AI Governance | Data and AI Models | AI Use Case | Allows you to provide details about the AI models and data that will be used for the AI use case. Your organization will use this information to understand the potential workload and risks associated with implementing your AI use case. |
| AI Governance | Legal and Ethics | AI Use Case | Helps you to identify potential legal and ethical risks associated with the AI use case. Answers will become a part of the AI use case definition. |
| AI Governance | Risks and Safeguards | AI Use Case | Helps you to identify and document potential business-related risks associated with the AI use case, as well as available safeguards. This will help your organization determine the overall risk of this Use Case. |
| AI Governance | EU AI Act Assessment | AI Use Case | Helps you to determine the applicability of the European Union's Artificial Intelligence Act to a proposed AI use case. |
| AI Governance | NIST AI Risk Management Framework (in preview) | AI Use Case | Helps you align with the NIST AI Risk Management Framework by evaluating AI systems across its core functions — Govern, Map, Measure, and Manage — to support responsible and trustworthy AI use. |
| AI Governance |
Model Business Context |
AI Model | Helps you to define business context, estimate resources, identify stakeholders, and ensure alignment with goals and organizational constraints. |
| AI Governance |
Model Information Collection |
AI Model | Allows you to provide details about the AI model you'll be training and using. |
| AI Governance |
Model Data Collection |
AI Model | Allows you to provide details on the data you will use and collect with the AI model that is being assessed. |
* For information on associated asset types, go to Asset type in a template.
Recommended assessments flow
We recommend conducting the out-of-the-box assessments of AI use cases and AI models in the order presented in this section.
For complete information on how to configure which assessment types are automatically added to the Lifecycle tracker, and which assessment type starts automatically when new AI models and AI use cases are registered, go to Configure assessment types for AI Governance assets.
AI use cases
When you register an AI use case, the following out-of-the-box assessment types are automatically added (by default) to the Lifecycle tracker on the AI Use Case asset page.
| Assessment type | The lifecycle stage at which it is configured (by default) to appear in the Progress Tracker |
|---|---|
| Business Context |
In the default initial lifecycle stage (Ideation), meaning when the asset is created. As shown in the following example image, this assessment type has the status Draft, reflecting the fact that it is automatically started when a new use case is registered. |
| Data and AI Models | In the default initial lifecycle stage (Ideation), meaning when the asset is created. |
| Legal and Ethics | In the default initial lifecycle stage (Ideation), meaning when the asset is created. |
| Risks and Safeguards | In the default initial lifecycle stage (Ideation), meaning when the asset is created. |
After the Business Context assessment, we recommend that you conduct a Data and AI Models assessment, to provide details about the AI models, AI agents, and data that will be used by the AI use case. With those two assessments completed, you can work on the remaining assessments in parallel.
AI models
When you register an AI model, the following out-of-the-box assessment types are automatically added (by default) to the Lifecycle tracker on the AI Model asset page.
| Assessment type | The lifecycle stage at which it is configured (by default) to appear in the Progress Tracker |
|---|---|
| Model Business Context |
In the default initial lifecycle stage (Candidate), meaning when the asset is created. As shown in the following example image, this assessment type has the status Draft, reflecting the fact that it is automatically started when a new use case is registered. |
| Model Information Collection |
In the default lifecycle stage Under Review. It won't be seen in the Lifecycle tracker until the asset advances to that stage. Note that this assessment isn't shown in the following example image, as the asset is still in the initial stage: Candidate. |
| Model Data Collection |
In the default lifecycle stage Under Review. It won't be seen in the Lifecycle tracker until the asset advances to that stage. Note that this assessment isn't shown in the following example image, as the asset is still in the initial stage: Candidate. |
