Skip to content
This is NOT an official site of the Government of Canada. Click here for the official AI registry.

Helpful Places

Government of Canada – DTPR AI Register

AI-Powered News Analysis for Capital Investment Tracking

Research & Development · Planning & Decision-making

What it collects

Operational data
Anonymized data
  • Publicly available news articles are the sole runtime input. These articles are not about specific individuals and contain no personal information — they report on capital investment projects, infrastructure, and business activities at an organizational or project level.
Run by
Statistics Canada (StatCan)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization

What it is for

Research & DevelopmentPlanning & Decision-making

This tool uses AI to scan and analyze news articles, automatically identifying and extracting details about major capital expenditure projects in Canada. It is used by Government of Canada employees at Statistics Canada to support the collection of investment data. The system does not process personal information, and its use of AI is disclosed to users.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Publicly available news articles are the sole runtime input. These articles are not about specific individuals and contain no personal information — they report on capital investment projects, infrastructure, and business activities at an organizational or project level.

Processing

Language Models
  • Natural language processing and likely large language model (LLM) techniques are used to read, comprehend, and extract structured information from unstructured news article text. The specific model architecture is not disclosed in the register.
Search & Retrieval
  • The system searches and retrieves relevant passages or data points from a corpus of news articles, identifying content related to capital expenditure projects for further extraction and structuring.

What it does

Sensing (Perceptive AI)
Human decides
  • The system reads and interprets unstructured news article text, detecting and structuring information related to capital investment projects. GC employees review and use the extracted information — the AI provides structured detections for human downstream use.
Deciding (Analytical AI)
Human decides
  • The tool classifies and extracts relevant capital expenditure information from news articles, scoring or flagging content for relevance to major investment projects. Human GC employees make final decisions on the data used for statistical outputs.

Outputs

Operational data
Anonymized data
  • The system produces structured records of identified capital expenditure projects — such as project name, value, location, sector, and stage — extracted from news articles. These outputs are not about any individual person and feed into Statistics Canada's data collection workflows.

Run by

Statistics Canada (StatCan)
  • Statistics Canada is the federal department responsible for producing statistics that help Canadians better understand their country. It deploys this AI tool to support the collection of capital expenditure data from news sources.

Government of Canada AI Register — 2526-StatCan-017

Built by

Government of Canada
  • The Government of Canada developed this AI tool internally. No external vendor or third-party contractor is identified as the system developer in the official register.

Government of Canada AI Register — 2526-StatCan-017

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Outputs are available to GC employees at Statistics Canada who use them for statistical data collection purposes. The register does not indicate any third-party or public access to the extracted data.

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 UseThe Government of Canada discloses that this tool uses AI, as indicated in the official AI register. GC employees who use the outputs are informed of AI involvement. As the system does not process personal information about members of the public, individual notice rights do not directly apply to citizens.
  • Right to Algorithmic TransparencyThe system is listed on the Government of Canada's public AI register, providing basic transparency about its existence and purpose. Detailed information about the model architecture, training data, or evaluation methodology is not publicly disclosed in the register entry.

Risks and safeguards

  • Societal & cultural harmAutomated extraction of investment data from news sources may introduce systematic biases — for instance, underrepresenting projects in regions or sectors with less news coverage, leading to skewed statistical outputs.Safeguard: GC employees review AI-extracted data before it enters official statistical products, providing a human check on coverage gaps and extraction errors.