AI Governance automatically shows the policies that apply to, and data categories that categorize, assets related to your AI use cases and the AI models they use. Showing these "indirectly related" policies and data categories on AI Use Case and AI Model asset pages allows you to quickly identify:
- Which policies (regulations and standards) apply to the Data Sets, Tables, and Technology assets associated with your AI use cases and AI models.
- If there is Personal Information (PI), Personally identifiable information (PII), or other sensitive information associated with your AI use cases and AI models.
AI Governance monitors and notifies you of changes to governed and categorized assets that are related to your AI Use Case and AI Model assets. For complete information, go to Email notifications for metadata changes.
Important We recommend that you not apply view permissions on the communities and domains that contain Policy and Data Category assets. Policy and Data Category assets on AI Use Case and AI Model asset pages are not visible to users who are restricted by view permissions.
In this topic
Indirectly related policies
Policy Manager is used to define policies, regulations and standards that apply to your organization. Policies can be direct translations of official laws and regulations, rules that are defined by your organization, or customized versions of official laws and regulations that are adapted to fit your organization's profile, culture or processes.
In practice, you create Policy, Regulation, and Standard assets to capture all of the relevant details of a particular policy. All such assets are shown on the Policy Manager landing page. You can then create relations between Regulation assets and Standard assets, and assets of other types, to indicate that a specific asset is subject to a specific policy.
Policy-applied data that is associated with your AI use cases and AI models
As shown in the following image, when documenting an AI use case, the out-of-the-box Data and AI Models assessment prompts you to specify any inference data, training data, and output data associated with your AI use case.
Inference data is represented in Collibra as Data Set assets, Table assets, and Technology assets. The same is true of training data and output data.
The Data Set assets, Table assets, and Technology Assets that you specify might be governed by one or more policies – more precisely, via a policy's associated rules and standards. The ability to quickly identify all such indirectly related policies can be helpful. Fortunately, you don't have to go looking for related regulations and standards and linking them to your AI use cases and AI models. It's done automatically.
If the Data Set assets, Table assets, and Technology Assets that you link to your AI use case are governed by policies, the relevant Policy assets are automatically shown in the Other Policies That Apply widget, in the Legal, Ethics and Compliance section of the AI Use Case asset page.
Similarly, for AI Model assets, if you have policy-applied Data Set assets, Table assets, and Technology Assets that are related to an AI Model asset:
- The relevant Policy assets are automatically shown in the Other Policies That Apply widget, in the Related Content section of the AI Model asset page.
- If that AI model is related to an AI use case, the Policy assets are also shown on the AI Use Case asset page.
- On AI Use Case asset pages, complies to Policy is shown in the Legal, Ethics and Compliance section.
- On AI Model asset pages, it is shown in the Overview section.
To add one or more policies, click
.
Indirectly related policies: applicable relation types
Not all policy-applied assets that are related to an AI use case or AI model will result in the Policy asset being shown on the AI Use Case or AI Model asset pages. Only the relation types shown in the following tables are applicable.
Assets related to AI Use Case assets
| Relation type | Head role / corole tail | Public ID |
|---|---|---|
| uses AI Model | AI Use Case uses / used in AI Model |
AIUseCaseUsesAIModel |
| infers from Asset | AI Use Case infers from / used to infer Asset |
AIUseCaseTransformsAsset |
| trained by Asset | AI Use Case trained by / trains in Asset |
AIUseCaseTrainedByAsset |
| has output Asset | AI Use Case has output / is output Asset |
AIUseCaseHasOutputAsset |
The relevant Policy asset is shown in the Other Policies That Apply widget:
-
For every policy-applied Data Set asset, Table asset, or Technology Asset that is related to the AI Use Case asset by one of the following relation types:
- AIUseCaseTransformsAsset
- AIUseCaseTrainedByAsset
- AIUseCaseHasOutputAsset
- For every policy-applied Data Set asset, Table asset, or Technology Asset that is related to an AI Model asset that is related to the AI Use Case asset by the relation type: AIUseCaseUsesAIModel.Note The Data Set asset, Table asset, or Technology Asset must be related to an AI Model asset via the following relation types:
- AIModelTrainedByAsset
- AIModelInfersFromAsset
- AIModelHasOutputAsset
Assets related to AI Model assets (that are related to AI Use Case assets)
| Relation type | Head role / corole tail | Public ID |
|---|---|---|
| trained by Asset | AI Model trained by / trains Asset | AIModelTrainedByAsset |
| infers from Asset | AI Model infers from / used to infer Asset | AIModelInfersFromAsset |
| has output Asset | AI Model has output / is output Asset | AIModelHasOutputAsset |
A Policy asset is shown in the Other Policies That Apply widget if the policy-applied Data Set asset, Table asset, or Technology Asset is related to an AI Model asset by one of the following relation types:
- AIModelTrainedByAsset
- AIModelInfersFromAsset
- AIModelHasOutputAsset
Indirectly related data categories
AI Governance automatically shows indirectly related Data Category assets on the AI Use Case and AI Model asset pages. This allows you to quickly identify if there are any Personal Information (PI), Personally identifiable information (PII), or other sensitive information associated with your AI use cases and AI models.
If the Data Set assets or Table assets that you link to your AI use case are categorized by data categories, the relevant Data Category assets are automatically shown in the Privacy Context widget, on the AI Use Case asset page.
The same is true for AI Model assets. If you have policy-applied Data Set assets or Table assets that are related to an AI Model asset:
- The relevant Data Category assets are automatically shown in the Privacy Context widget, on the AI Model asset page.
- If that AI model is related to an AI use case, the Data Category assets are also shown on the AI Use Case asset page.
Applicable relation types for indirectly related data categories
Not all Data Category assets that are indirectly related to an AI use case or AI model are shown on the AI Use Case or AI Model asset pages. Only the relation types shown in the following tables are applicable.
Assets related to AI Use Case assets
| Relation type | Head role / corole tail | Public ID |
|---|---|---|
| uses AI Model | AI Use Case uses / used in AI Model |
AIUseCaseUsesAIModel |
| infers from Asset | AI Use Case infers from / used to infer Asset |
AIUseCaseTransformsAsset |
| trained by Asset | AI Use Case trained by / trains in Asset |
AIUseCaseTrainedByAsset |
| has output Asset | AI Use Case has output / is output Asset |
AIUseCaseHasOutputAsset |
The relevant indirectly related Data Category asset is shown in the Privacy Context widget:
-
For every Data Set asset or Table asset that is related to the AI Use Case asset by one of the following relation types:
- AIUseCaseTransformsAsset
- AIUseCaseTrainedByAsset
- AIUseCaseHasOutputAsset
- For every Data Set asset or Table asset that is related to an AI Model asset that is related to the AI Use Case asset by the relation type: AIUseCaseUsesAIModel.Note The Data Set asset or Table asset must be related to an AI Model asset via the following relation types:
- AIModelTrainedByAsset
- AIModelInfersFromAsset
- AIModelHasOutputAsset
Assets related to AI Model assets (that are related to AI Use Case assets)
| Relation type | Head role / corole tail | Public ID |
|---|---|---|
| trained by Asset | AI Model trained by / trains Asset | AIModelTrainedByAsset |
| infers from Asset | AI Model infers from / used to infer Asset | AIModelInfersFromAsset |
| has output Asset | AI Model has output / is output Asset | AIModelHasOutputAsset |
A Data Category asset is shown in the Privacy Context widget if the indirectly related Data Set asset or Table asset is related to the AI Model asset by one of the following relation types:
- AIModelTrainedByAsset
- AIModelInfersFromAsset
- AIModelHasOutputAsset
Email notifications
Email notifications are sent to a default list of recipients, based on resource roles, to alert stakeholders when there are changes to metadata related to your AI use cases. For complete information, including how to edit the list of email recipients, go to Email notifications of metadata changes that affect AI use cases.
Prerequisites
- You have the ADMIN or SUPER role in Collibra Console.
Steps
- Open the DGC service settings for editing:
- Open Collibra Console.
Collibra Console opens with the Infrastructure page. - In the tab pane, expand an environment to show its services.
- In the tab pane, click the Collibra Platform service of that environment.
- Click Configuration.
- Click Edit configuration.
- Open Collibra Console.
- In the AI Governance Configuration section, enter the required information:
- Click Save all.
|
Setting |
Description |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Roles that will receive notifications |
When a notification is triggered, an email is sent to all users or user groups assigned to one or more resource roles for the AI use case. The following table shows the default list of resource role recipients. To delete a recipient, click To add a recipient, enter the resource ID of the relevant resource role in the empty field at the bottom of the list.
|
next to the relevant resource role.Limitations
The following limitations apply to both indirectly related policies and data categories.
- Up to 1,000 indirectly related Policy assets, and up to 1,000 indirectly related Data Category assets, can be shown in the respective widgets on an AI Use Case or AI Model asset page. If there are more than 1,000 Policy assets, or more than 1,000 Data Category assets, only the first 1,000 assets are shown in the respective widgets.
These limitations will be improved in a future version of Collibra.