Public portrait of the uses of AI in the Quebec public administration
In a perspective of transparency and to ensure the coherence of government action in the field of artificial intelligence (AI), the Minister of Cybersecurity and Digital Technology issued, on February 28, 2024, decree number 2024-01 concerning information resource requirements with regard to the use of artificial intelligence by public organizations. This new obligation allowed the Ministry of Cybersecurity and Digital Affairs (MCN) to document the use cases of AI in public administration and to establish a portrait of them. The information contained in the file therefore comes from a collection carried out from public bodies. The portrait shows all the initiatives that are currently under development or in production within public organizations. However, for obvious security reasons, cybersecurity initiatives are excluded. For the same reason, the commercial name of solutions and solution providers has been changed to a generic name. The data contains the name of the IT asset, project or AI initiative, its category, the responsible public body, the ministerial portfolio to which the organization is attached, the associated benefits and its status. The categories are: * Decision Support, Planning, and/or Prediction: AI system used primarily as a tool to support decision, planning, or to make predictions. * Behavior/Feeling Analysis: AI system used primarily to do behavior analysis or for the analysis of feelings. * Assistant/Conversational Agent: AI system using natural language communication and primarily used to assist with specific tasks or to maintain a conversation. with a user* Automation: AI system used primarily for the automation of defined and targeted tasks and/or processes. * User experience - Personalization: AI system used primarily for improving the user experience on platforms or websites (example: facilitating searches, customizing content, etc.). * AI-assisted training and learning, etc.). * AI-assisted training and learning: AI system used primarily for training and learning assistance. * Geomatic and geospatial management: System of AI used for forest, geological, cartographic and geomatics management. * Laboratory and equipment: Initiative or project aimed at the establishment of an experimental laboratory and/or the acquisition of computer equipment dedicated to the development of AI. * Connected electronic system and ambient intelligence: AI system integrated into initiatives or projects aimed at the implementation of an intelligent electronic system, ambient intelligence or connected objects. * Image processing: AI system used mainly for treatment and the image analysis. The statuses are: * Solution development: This status includes projects or initiatives that are in the development/acquisition stage or in the testing and validation phase of the development cycle of an AI system. * Solution in production: This status includes projects or initiatives that are in the deployment/integration stage or in the maintenance and support of the development cycle of an AI system. * Information unavailable: This status indicates that the information could not be confirmed by the body responsible for the project or initiative.
Datasets available for download
Additional Info
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| Last Updated | October 20, 2025, 02:40 (UTC) |
| Created | October 20, 2025, 02:40 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Society |
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Title
Title for the Dataset.
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Public portrait of the uses of AI in the Quebec public administration |
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Description
A description of the dataset.
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In a perspective of transparency and to ensure the coherence of government action in the field of artificial intelligence (AI), the Minister of Cybersecurity and Digital Technology issued, on February 28, 2024, decree number 2024-01 concerning information resource requirements with regard to the use of artificial intelligence by public organizations. This new obligation allowed the Ministry of Cybersecurity and Digital Affairs (MCN) to document the use cases of AI in public administration and to establish a portrait of them. The information contained in the file therefore comes from a collection carried out from public bodies. The portrait shows all the initiatives that are currently under development or in production within public organizations. However, for obvious security reasons, cybersecurity initiatives are excluded. For the same reason, the commercial name of solutions and solution providers has been changed to a generic name. The data contains the name of the IT asset, project or AI initiative, its category, the responsible public body, the ministerial portfolio to which the organization is attached, the associated benefits and its status. The categories are: * Decision Support, Planning, and/or Prediction: AI system used primarily as a tool to support decision, planning, or to make predictions. * Behavior/Feeling Analysis: AI system used primarily to do behavior analysis or for the analysis of feelings. * Assistant/Conversational Agent: AI system using natural language communication and primarily used to assist with specific tasks or to maintain a conversation. with a user* Automation: AI system used primarily for the automation of defined and targeted tasks and/or processes. * User experience - Personalization: AI system used primarily for improving the user experience on platforms or websites (example: facilitating searches, customizing content, etc.). * AI-assisted training and learning, etc.). * AI-assisted training and learning: AI system used primarily for training and learning assistance. * Geomatic and geospatial management: System of AI used for forest, geological, cartographic and geomatics management. * Laboratory and equipment: Initiative or project aimed at the establishment of an experimental laboratory and/or the acquisition of computer equipment dedicated to the development of AI. * Connected electronic system and ambient intelligence: AI system integrated into initiatives or projects aimed at the implementation of an intelligent electronic system, ambient intelligence or connected objects. * Image processing: AI system used mainly for treatment and the image analysis. The statuses are: * Solution development: This status includes projects or initiatives that are in the development/acquisition stage or in the testing and validation phase of the development cycle of an AI system. * Solution in production: This status includes projects or initiatives that are in the deployment/integration stage or in the maintenance and support of the development cycle of an AI system. * Information unavailable: This status indicates that the information could not be confirmed by the body responsible for the project or initiative. |
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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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2024-11-08 |
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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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Creative Commons 4.0 Attribution (CC-BY) licence – Quebec |
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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/1c9131d2-ab2a-4513-9a46-945b2bc96e1b |
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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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Government and Municipalities of Québec | Gouvernement et municipalités du Québec |
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Contact Point
Who to contact regarding access?
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Ministère de la Cybersécurité et du Numérique |
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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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