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AI-Assisted Identity Document Verification for SIN Applications

Entry · Enforcement

What it collects that can identify you

Sensitive personal information
Identifiable data
  • Identity documents submitted by applicants as scans or photos (e.g. birth certificates, passports), containing names, dates of birth, and other direct identifiers.
Sensitive personal information
Identifiable data
  • CRA taxpayer data (financial and tax records) and RAP/RAP-D data used to cross-reference and validate applicant identity claims.
Run by
Employment and Social Development Canada (ESDC)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization
Your copy
You cannot see the data it holds about you. What you can do

What it is for

EntryEnforcement

This system uses computer vision and optical character recognition to help government employees validate the authenticity of identity documents submitted online when applying for a Social Insurance Number. It reads, compares, and extracts data from scanned documents and photos. The system processes personal information including tax and applicant data, and its outputs support—but do not replace—human review by Government of Canada employees.

What it collects and what happens to it

Data taken in

Sensitive personal information
Identifiable data
  • Identity documents submitted by applicants as scans or photos (e.g. birth certificates, passports), containing names, dates of birth, and other direct identifiers.
Sensitive personal information
Identifiable data
  • CRA taxpayer data (financial and tax records) and RAP/RAP-D data used to cross-reference and validate applicant identity claims.

Processing

Computer Vision
  • Interprets scanned images and photos of identity documents to detect visual authenticity features and extract structured data fields.
Classification & Prediction
  • Classifies documents as authentic or suspect based on visual and data-consistency analysis, including Natural Language Processing to interpret textual fields.

What it does

Sensing (Perceptive AI)
Human decides
  • Uses computer vision and OCR to read identity documents submitted as scans or photos (e.g. JPEG, PDF), extracting fields and flagging authenticity issues for human review by GC employees.
Deciding (Analytical AI)
Human decides
  • Compares extracted document data against reference data sources (CRA taxpayer data, RAP, RAP-D, and applicant data) to score or flag authenticity and consistency, with GC employees making the final determination.

Outputs

A recommendation or prediction
Anonymized data
  • Authenticity assessments and extracted data fields surfaced to GC employees, who make the final determination on the SIN application. Outputs are advisory, not binding decisions.
Sensitive personal information
Identifiable data
  • Extracted identity data fields (e.g. name, date of birth, document number) read from submitted documents and linked to the specific applicant's file.

Run by

Employment and Social Development Canada (ESDC)
  • The federal department that deploys and operates the Electronic SIN Automation system to support Social Insurance Number application processing.

GC AI Register — Electronic SIN Automation

Built by

Government of Canada
  • The system was developed internally by the Government of Canada, with no external vendor identified in the register entry.

GC AI Register — Electronic SIN Automation

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Outputs and extracted data are accessible to GC employees (primary users) within Employment and Social Development Canada for SIN application adjudication.
Not available to me
  • Applicants do not have direct access to the system's intermediate outputs or authenticity assessments; they receive a final decision on their SIN application.

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 are subject to AI-assisted document validation as part of the online SIN application process. The use of this system is disclosed in the Government of Canada's public AI register. For more information, contact Employment and Social Development Canada.
  • Right to a Human ReviewAll AI outputs are reviewed by GC employees before any decision is made on a SIN application. A human is in the loop on every consequential determination arising from this system.
  • Right to Correct Your DataApplicants may contact Employment and Social Development Canada to correct inaccurate personal information held in connection with their SIN application, in accordance with the Privacy Act.

Risks and safeguards

  • Reputational harmMisidentification of a legitimate document as fraudulent could delay or wrongly deny a SIN application, harming the applicant's ability to work or access services.Safeguard: Outputs are advisory only — GC employees make the final determination, providing a human review layer before any consequential decision.
  • Civil liberties harmProcessing of identity documents and cross-referencing with tax and benefits data (CRA, RAP/RAP-D) creates a surveillance-like profile of applicants; potential for discriminatory outcomes if the model performs unevenly across document types or demographic groups.Safeguard: The system is limited to document validation in support of SIN issuance; personal information protections under the Privacy Act apply; GC employees retain decision authority.