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Helpful Places

Government of Canada – DTPR AI Register

AI-Assisted Review of Study Permit Applications

Border & Immigration

What it collects that can identify you

Sensitive personal information
Identifiable data
  • Identity documents submitted as part of study permit applications, including proof of identity for named individual applicants from countries such as Saudi Arabia and India.
Sensitive personal information
Identifiable data
  • Financial sufficiency documentation and interview records submitted as part of the study permit application. These materials reveal financial circumstances and immigration-related status, both categories carrying heightened legal and social sensitivity.
Run by
Immigration, Refugees and Citizenship Canada (IRCC)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization

What it is for

Border & Immigration

This system uses artificial intelligence to help Immigration, Refugees and Citizenship Canada (IRCC) officers review applications for study permits from foreign nationals. It assesses documents such as proof of identity, financial sufficiency, and interview records for applicants from countries including Saudi Arabia and India. The AI assists government employees — it does not make final decisions on its own. Applicants should know that AI analysis is part of how their application is reviewed.

What it collects and what happens to it

Data taken in

Sensitive personal information
Identifiable data
  • Identity documents submitted as part of study permit applications, including proof of identity for named individual applicants from countries such as Saudi Arabia and India.
Sensitive personal information
Identifiable data
  • Financial sufficiency documentation and interview records submitted as part of the study permit application. These materials reveal financial circumstances and immigration-related status, both categories carrying heightened legal and social sensitivity.

Processing

Classification & Prediction
  • The system classifies or scores application documentation — including identity, financial, and interview records — to produce assessments that guide officer review of study permit eligibility.

What it does

Deciding (Analytical AI)
Human decides
  • The AI reviews and assesses study permit application files — scoring or classifying documents and applicant information — to support officer decision-making. Final permit decisions remain with GC employees.

Outputs

A recommendation or prediction
Identifiable data
  • The AI produces assessments or recommendations about study permit applications for review by GC employees. These outputs identify whether documentation appears sufficient across identity, financial, and interview dimensions.

Run by

Immigration, Refugees and Citizenship Canada (IRCC)
  • The federal department responsible for immigration and citizenship in Canada. IRCC deploys and operates this AI system to assist government employees in reviewing study permit applications.

Government of Canada AI Register — 2526-IRCC-016

Built by

Not stated by the Helpful Places.

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Outputs of the AI assessment are available to GC employees at IRCC who use the system to support their review of study permit applications. The register does not describe access by applicants or external parties.

Stored

Not stated by the Helpful Places.

How to read the colours

Can it identify you?

Anonymized data
Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
Pseudonymous data
Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
Identifiable data
The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.

Who completes the loop?

Human decides
This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
Human executes
This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
Autonomous
This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.

Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.

What you can do

Ask about this system

Questions go to the Helpful Places, not the vendor.

Your rights

  • Right to Be Informed of AI UseApplicants for Canadian study permits have the right to know that an AI system assists in the review of their application. IRCC's publication of this system in the Government of Canada AI Register reflects a commitment to transparency. Applicants seeking confirmation of AI use in their file review may contact IRCC directly.
  • Right to a Human ReviewThe primary users of this system are GC employees, indicating that human officers review AI outputs before decisions are made. Applicants may request information about the role of AI in their specific file through standard IRCC client service channels.

Risks and safeguards

  • Civil liberties harmThe system reviews applications involving different nationalities, raising a risk that AI-driven patterns could encode or amplify differential treatment by national origin — a protected ground under Canadian human rights law. If the model learns from historical approval rates that varied by country, it may replicate those disparities. Mitigation noted in the register: primary users are GC employees who make final decisions, providing a human check on AI outputs. Further mitigations (e.g., bias audits, fairness testing by nationality) are not documented in the available register entry.
  • Reputational harmAn AI misclassification of documents or financial evidence as insufficient could unjustly flag a legitimate applicant, damaging their record with IRCC and potentially affecting future applications. The system's reliance on GC employee review before final decisions provides a mitigation layer. However, no specific accuracy thresholds, appeal procedures, or error-correction mechanisms are described in the register entry.