Overview
The Datasets Dashboard provides a centralized view of datasets registered in Clarity AI.
It allows users to view, search, and manage dataset records associated with AI systems.
The dashboard helps maintain visibility of datasets used for training, testing, validation, or operational purposes.
Purpose
The Datasets Dashboard supports governance of datasets used within AI systems.
Maintaining structured dataset records helps organizations track how data is used and supports governance processes such as risk assessments, compliance review, and data management oversight.
The dashboard provides a consistent view of datasets across the organization.
Key features
centralized dataset inventory
Displays a list of datasets registered in Clarity AI.
Each record represents a dataset used within AI systems or related workflows.
Dataset records help maintain visibility into data sources supporting AI functionality.
search and filtering
Users can search for datasets or apply filters to locate specific dataset records.
Search functionality helps users quickly identify datasets based on relevant attributes.
visibility of dataset information
Each dataset entry provides summary information describing the dataset.
Typical information displayed includes:
dataset name
associated AI systems
dataset status
related governance indicators
Summary information helps users understand the role of datasets within AI workflows.
navigation to dataset details
Selecting a dataset opens the dataset record where additional governance information can be accessed.
Dataset records may include information related to:
Viewing a Dataset
Dataset Details – Quality & Validation
Dataset Details – Operations
Dataset Details – Security & Compliance
Dataset Details – Risk Assessments
These components provide detailed context regarding dataset governance.
How to use
access the datasets dashboard
Navigate to AI Inventory and select Datasets Dashboard.
review dataset records
Browse the list of datasets to understand what data sources are registered in Clarity AI.
Use available information to identify datasets requiring updates or review.
search or filter datasets
Use search functionality or filters to locate specific datasets.
Filtering helps users quickly identify relevant dataset records.
open dataset details
Select a dataset to review detailed governance information.
Update dataset information as required.
Notes
- Maintaining accurate dataset records supports transparency across AI governance processes.
- Dataset records help ensure traceability of data usage within AI systems.
- Regular review of dataset records helps maintain consistency in governance documentation.
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