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Helpful Places

Government of Canada – DTPR AI Register

AI-Assisted Code Generation for Freight Demand Forecasting

Planning & Decision-making

What it collects

Operational data
Anonymized data
  • Analyst prompts describing data processing requirements, model logic specifications, and coding tasks in R programming language for the freight transportation demand forecasting model.
Run by
Transport Canada (TC)
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

Transport Canada uses ChatGPT, a generative AI tool made by OpenAI, to write code that automates data processing steps in its freight transportation demand forecasting model. The AI helps government analysts work more efficiently by handling routine coding tasks, freeing them to focus on interpreting and communicating results. This system does not process personal information, and its outputs are internal analytical tools used only by government employees.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Analyst prompts describing data processing requirements, model logic specifications, and coding tasks in R programming language for the freight transportation demand forecasting model.

Processing

Language Models
  • ChatGPT, a large language model developed by OpenAI, trained on internet data. Used here specifically for code generation in R programming language rather than for natural-language conversation or decision-making.

What it does

Creating (Generative AI)
Human decides
  • ChatGPT generates R programming language code based on prompts from Transport Canada analysts. Analysts review and decide which generated code to incorporate into the forecasting model's automated processes.

Outputs

Generated content
Anonymized data
  • R programming language code that automates data processing and model logic steps within Transport Canada's freight transportation demand forecasting model.

Run by

Transport Canada (TC)
  • Transport Canada is the federal department responsible for transportation policies and programs. It deploys this AI tool to assist analysts in developing code for its freight demand forecasting model.

Government of Canada AI Registry — Enhanced Coding for Forecast Model

Built by

OpenAI
  • OpenAI is the vendor that builds and supplies ChatGPT, the generative AI model used by Transport Canada analysts to write R programming code for the forecasting model.

Government of Canada AI Registry — Enhanced Coding for Forecast Model

Kept for

Not stated by the Helpful Places.

Shared with

Not available to me
  • The generated code and associated model outputs are internal to Transport Canada and used only by government employees. This system is not a public-facing service and produces no outputs directed at members of the public.
Available to the accountable organization
  • The generated code and forecasting model outputs are available to Transport Canada analysts and staff (GC employees) who use the model for freight transportation demand analysis.

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 TransparencyThis system is disclosed in the Government of Canada's public AI register. As this tool is used exclusively by government employees and does not directly affect members of the public, individual rights to explanation are not applicable in the conventional sense. The register entry provides transparency about the system's use.

Risks and safeguards

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