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Helpful Places

Government of Canada – DTPR AI Register

AI Assistant for Document Classification and Smart Labelling

Inform

What it collects

Operational data
Anonymized data
  • Documents or records submitted by GC employees for classification validation. The register confirms no personal information is involved, so inputs are treated as operational/administrative data only.
Run by
Fisheries and Oceans Canada (DFO)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Not stated by the Helpful Places.

What it is for

Inform

This system pilots an AI-powered labelling back end and a free copilot agent to help Government of Canada employees at Fisheries and Oceans Canada classify and validate document labels. It does not involve personal information. The system is currently in development and is intended for internal departmental use only.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Documents or records submitted by GC employees for classification validation. The register confirms no personal information is involved, so inputs are treated as operational/administrative data only.

Processing

Classification & Prediction
  • The Labels back end applies classification and prediction techniques to assign or validate document labels against a departmental taxonomy.

What it does

Deciding (Analytical AI)
Human decides
  • The copilot agent validates a user's classification — scoring or ranking document labels against expected categories — while the GC employee retains decision authority over the final classification.
Understanding (Semantic AI)
Human decides
  • The system uses smart labelling capabilities to interpret document content and match it to the appropriate classification labels, grounding its suggestions in the label taxonomy defined by the department.

Outputs

A recommendation or prediction
Anonymized data
  • The system produces classification label validations or suggestions for GC employees to review and act upon. Outputs are advisory — the employee decides whether to accept the AI-suggested label.

Run by

Fisheries and Oceans Canada (DFO)
  • The federal department deploying and using this AI labelling pilot for internal document classification validation by Government of Canada employees.

Government of Canada AI Register — Labels Pilot

Built by

Government of Canada
  • Listed as the developer of this AI system, indicating internal government development rather than a third-party commercial vendor.

Government of Canada AI Register — Labels Pilot

Kept for

Not stated by the Helpful Places.

Shared with

Not stated by the Helpful Places.

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 Algorithmic TransparencyGC employees using this system are entitled to understand in plain language how the AI validates or suggests document classification labels. Questions about system logic can be directed to Fisheries and Oceans Canada.
  • Right to a Human ReviewBecause the AI copilot validates rather than determines final classifications, a human employee reviews and approves every label. No classification is applied automatically without human confirmation.

Risks and safeguards

No risks or safeguards have been published for this system yet.