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Government of Canada – DTPR AI Register

AI-Assisted Budget Forecasting for National Defence

Planning & Decision-making

What it collects

Operational data
Anonymized data
  • Previous years' financial data from DND/CAF internal systems, described as non-publicly available. No personal information is involved.
Run by
National Defence (DND)
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

Planning & Decision-making

This tool uses historical financial data to help financial officers at National Defence predict how much of their budget will be spent during the current fiscal year. It is intended for internal government use only and does not process personal information. The system is currently under development and users are not informed that AI is involved in generating the forecasts.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Previous years' financial data from DND/CAF internal systems, described as non-publicly available. No personal information is involved.

Processing

Classification & Prediction
  • Uses historical financial data patterns to generate expenditure forecasts and predictions relevant to in-year budget management.

What it does

Deciding (Analytical AI)
Human decides
  • The system predicts and scores budget expenditure levels from historical financial data, returning forecasts and relevant information to support human financial officers who make final spending decisions.

Outputs

A recommendation or prediction
Anonymized data
  • Predicted budget expenditure figures and relevant financial information presented to ADM (Fin) officers as advisory forecasts, not binding decisions.

Run by

National Defence (DND)
  • The Government of Canada department responsible for developing and deploying this financial forecasting tool for use by internal financial comptrollers.

GC AI Register — 2526-DND-MDN-004

Built by

Not stated by the Helpful Places.

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Outputs are available to GC employees — specifically ADM (Fin) officers within the Department of National Defence. No external or public access.
Not available to me
  • The tool operates on internal government financial data. As a member of the public, you have no access to the inputs, outputs, or the system itself.

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 TransparencyThe register notes that AI use is not disclosed to users of this system. GC employees interacting with outputs are currently not informed that AI contributes to the forecasts. Transparency obligations under applicable Government of Canada policies should be reviewed as the system moves toward production.

Risks and safeguards

  • Financial & business harmErroneous budget forecasts could lead to poor financial planning decisions, potential underspending or overspending of public funds, and misallocation of National Defence resources.Safeguard: The system is positioned as advisory — ADM (Fin) officers retain decision authority. The system is still in development, allowing for testing and validation before operational use.
  • Loss of autonomyBecause AI use is not disclosed to users, financial officers may rely on AI-generated forecasts without knowing they originate from a predictive model, reducing informed human oversight.Safeguard: The register indicates the system is in development; disclosure of AI use to end users should be implemented prior to full deployment, consistent with Government of Canada Directive on Automated Decision-Making.