GC HR and Pay - Artificial Intelligence (AI) Ethics Sub-Committee
The Artificial Intelligence (AI) Ethics Sub-Committee operates under the AI Operational Ethics Review Board (OERB) to ensure responsible AI usage in government service delivery.
This working level advisory sub-committee is focused exclusively on the ethical review process within the Government of Canada’s (GC) Human Resources (HR) and Pay modernization project, aligning with GC policies, standards, and best practices. It evaluates proposed AI initiatives, identifies potential ethical considerations and suggests improvements.
Members are nominated by their departmental executive on the OERB and must possess at least two of the following areas of expertise: knowledge of departmental or program-level operations related to AI, data, or digital services; foundational understanding of responsible AI or automation policy; and foundational understanding of values and ethics, human rights, accessibility, and Gender-Based Analysis (GBA) Plus analysis.
The sub-committee meets as required in a virtual format.
Datasets available for download
Additional Info
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| Last Updated | October 20, 2025, 02:30 (UTC) |
| Created | October 20, 2025, 02:30 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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GC HR and Pay - Artificial Intelligence (AI) Ethics Sub-Committee |
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Description
A description of the dataset.
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The Artificial Intelligence (AI) Ethics Sub-Committee operates under the AI Operational Ethics Review Board (OERB) to ensure responsible AI usage in government service delivery. This working level advisory sub-committee is focused exclusively on the ethical review process within the Government of Canada’s (GC) Human Resources (HR) and Pay modernization project, aligning with GC policies, standards, and best practices. It evaluates proposed AI initiatives, identifies potential ethical considerations and suggests improvements. Members are nominated by their departmental executive on the OERB and must possess at least two of the following areas of expertise: knowledge of departmental or program-level operations related to AI, data, or digital services; foundational understanding of responsible AI or automation policy; and foundational understanding of values and ethics, human rights, accessibility, and Gender-Based Analysis (GBA) Plus analysis. The sub-committee meets as required in a virtual format. |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2025-03-21 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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Open Government Licence - Canada |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://open.canada.ca/data/en/dataset/0cfacea4-5331-4b6d-aa5a-983a9f74086d |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Public Services and Procurement Canada | Services publics et Approvisionnement Canada |
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Contact Point
Who to contact regarding access?
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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[email protected] |
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Author
Author of the dataset.
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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Link to dataset description
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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