Roles and permissions in ai center

Help AI Center
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1

What are all the roles and permissions in AI Center? Mention them with detailed description about each role… …

2

Hi @aditi.kumari

Please check the below thread

Regards

3

1.Administrator:
Administrators have full access to all features and functionalities within UiPath AI Center. They can manage users, configure settings, create and manage projects, and have overall control over the AI Center instance.

  1. Developer:
    Developers have permissions to create and manage machine learning models, datasets, and projects. They can train models, deploy them, and monitor their performance.

  2. Data Scientist:
    Data Scientists have advanced permissions related to model creation, training, and evaluation. They might have access to additional features and tools for exploring and preparing data for machine learning models.

  3. Project Manager:
    Project Managers are responsible for overseeing specific AI projects. They have permissions to manage project settings, monitor project progress, and collaborate with other team members.

  4. User:
    Users have limited permissions and may not have access to all functionalities. They can use and interact with the AI Center interface based on the permissions assigned to them by administrators or other roles.

Cheers!!

4

Hi @aditi.kumari

You can set up permissions for both groups or users for the following pages:

  • At tenant level:
    • Project: everyone can access their project, but only users with Read permissions on project-level can view projects they are not part of.
    • Licenses: read-only.
    • Users: roles can be managed from specific page.
    • Roles: you can create roles for users.
  • At project level:
    • Dataset
    • Pipelines
    • Data Labeling
    • ML Packages
    • ML Skills
    • ML Logs (read-only)
    • Settings: user management at project level

The following roles and permissions are created by default for AI Center™:

  • Administrator: all permissions granted
  • Tenant administrator:
    • Project: create, read, update, and delete
    • Licenses: read-only
    • Users: create, read, update, and delete
    • Roles: create, read, update, and delete
    • Profiles: read-only
  • Project creator:
    • Project: create and update
    • Profile: read-only
  • Data scientist:
    • Dataset: create, read, update, and delete
    • Pipelines: create, read, update, and delete
    • Data Labeling: create, read, update, and delete
    • ML Packages: create, read, update, and delete
    • ML Skills: create, read, update, and delete
    • ML Logs: read-only
  • Project administrator:
    • Dataset: create, read, update, and delete
    • Pipelines: create, read, update, and delete
    • Data Labeling: create, read, update, and delete
    • ML Packages: create, read, update, and delete
    • ML Skills: create, read, update, and delete
    • ML Logs: read-only
    • Settings: create, read, update, and delete
  • Users manager:
    • Settings: create, read, update, and delete

Hope it helps!!