Algorithmic Impact Assessment - Temporary Foreign Worker Program Case Selection Algorithm

Service Canada is responsible for inspecting employers to determine compliance with program conditions listed in the Immigration and Refugee Protection Regulations (IRPR). Any employer that hires a temporary foreign worker under an approved Labour Market Impact Assessment (LMIA) is subject to inspection, based on the authorities that exist in IRPR (209.5). Some employers are selected through the random (209.5 c) inspection trigger using a system that incorporates data held by ESDC, as well as data obtained through information sharing agreements with other Federal departments and provinces and territories.

The system aims to improve integrity in the Temporary Foreign Worker Program (TFWP), by providing a broad selection of inspection referrals using risk-based criteria to Service Canada’s Integrity Operations, including those who may be at a higher risk of potential non-compliance with program conditions. The system does not render decisions regarding the employers compliance with the program; only supports the selection for inspections to initiate. The regular inspection process is performed by a human investigator who receives and reviews employer documentation according to relevant policy and standards. Based on that initial review, the inspector may render a compliant decision or identify for further inquiry. Such inquiry may find an employer “compliant with justification” or “non-compliant”.

The system uses a business rules algorithm to produce referral lists of employers which are then sent to human investigators to initiate the inspection.

Datasets available for download

• TFWP_AIA_OpenGovernmentPortal_ENPDF
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• TFWP_AIA_OpenGovernmentPortal_FRPDF
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• TFWP_OpenGovernmentPortal_ENJSON
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• TFWP_OpenGovernmentPortal_FRJSON
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• Algorithmic Impact...
• Economics and Industry
• Government and Politics
• Labour
• TFW
• TFWP
• Temporary foreign...

Additional Info

• Maturity Level 1 (46%)
• Maturity Level 2 (23%)
• Maturity Level 3 (0%)
• Maturity Level 4 (0%)
• Maturity Level 5 (0%)
• Maturity Level 6 (0%)

Field	Value
Last Updated	October 20, 2025, 02:31 (UTC)
Created	October 20, 2025, 02:31 (UTC)
Domain / Topic Domain or topic of the dataset being cataloged.
Title Title for the Dataset.	Algorithmic Impact Assessment - Temporary Foreign Worker Program Case Selection Algorithm
Description A description of the dataset.	Service Canada is responsible for inspecting employers to determine compliance with program conditions listed in the Immigration and Refugee Protection Regulations (IRPR). Any employer that hires a temporary foreign worker under an approved Labour Market Impact Assessment (LMIA) is subject to inspection, based on the authorities that exist in IRPR (209.5). Some employers are selected through the random (209.5 c) inspection trigger using a system that incorporates data held by ESDC, as well as data obtained through information sharing agreements with other Federal departments and provinces and territories. The system aims to improve integrity in the Temporary Foreign Worker Program (TFWP), by providing a broad selection of inspection referrals using risk-based criteria to Service Canada’s Integrity Operations, including those who may be at a higher risk of potential non-compliance with program conditions. The system does not render decisions regarding the employers compliance with the program; only supports the selection for inspections to initiate. The regular inspection process is performed by a human investigator who receives and reviews employer documentation according to relevant policy and standards. Based on that initial review, the inspector may render a compliant decision or identify for further inquiry. Such inquiry may find an employer “compliant with justification” or “non-compliant”. The system uses a business rules algorithm to produce referral lists of employers which are then sent to human investigators to initiate the inspection.
Tags / Keywords Keywords/tags categorizing the dataset.	Algorithmic Impact... Economics and Industry Government and Politics Labour TFW TFWP Temporary foreign...
Format (CSV, XLS, TXT, PDF, etc) File format of the dataset.
Dataset Size Dataset size in megabytes.
Metadata Identifier Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date Published date of the dataset.	2025-05-28
Time Period Data Span (start date) Start date of the data in the dataset.
Time Period Data Span (end date) End date of time data in the dataset.
GeoSpatial Area Data Span A spatial region or named place the dataset covers.

Field	Value
Access category Type of access granted for the dataset (open, closed, service, etc).
License License used to access the dataset.	Open Government Licence - Canada
Limits on use Limits on use of data.
Location Location of the dataset.	https://open.canada.ca/data/en/dataset/b3dc23b6-8c06-4c45-bc65-4cb4ec30bf80
Data Service Data service for accessing a dataset.
Owner Owner of the dataset.	Employment and Social Development Canada | Emploi et Développement social Canada
Contact Point Who to contact regarding access?
Contact Point Email The email to contact regarding access?
Publisher Publisher of the dataset.
Publisher Email Email of the publisher.
Author Author of the dataset.
Author Email Email of the author.
Accessed At Date the data and metadata was accessed.

Field	Value
Identifier Unique identifier for the dataset.
Language Language(s) of the dataset
Link to dataset description A URL to an external document describing the dataset.
Persistent Identifier Data is identified by a persistent identifier.
Globally Unique Identifier Data is identified by a persistent and globally unique identifier.
Contains data about individuals Does the data hold data about individuals?
Contains data about identifiable individuals Does the data hold identifiable data about individual?
Contains Indigenous Data Does the data hold data about Indigenous communities?
Portal Type Platform type of the source portal.

Field	Value
Version Version of the datatset	None
Source Source of the dataset.	None
Version notes Version notes about the dataset.
Is version of another dataset Link to dataset that it is a version of.
Other versions Link to datasets that are versions of it.
Provenance Text Provenance Text of the data.
Provenance URL Provenance URL of the data.
Temporal resolution Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions) Describes how granular (in regions) geospatial data is in the dataset.

Field	Value
Indigenous Community Permission Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission Community permission (who gave permission).
The Indigenous communities the dataset is about Indigenous communities from which data is derived.

Field	Value
Number of data rows If tabular dataset, total number of rows.
Number of data columns If tabular dataset, total number of unique columns.
Number of data cells If tabular dataset, total number of cells with data.
Number of data relations If RDF dataset, total number of triples.
Number of entities If RDF dataset, total number of entities.
Number of data properties If RDF dataset, total number of unique properties used by the triples.
Data quality Describes the quality of the data in the dataset.
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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