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Helpful Places

Government of Canada – DTPR AI Register

AI-Assisted Food Safety Intelligence Scanning

Safety & Security · Planning & Decision-making

What it collects

Operational data
Anonymized data
  • Agricultural trade publications and news articles from Dow Jones Factiva and RSS news feeds, covering regulatory approvals, pesticide authorizations, and food-safety developments in countries that export food to Canada. No personal information is involved.
Run by
National Research Council Canada (NRC)
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

Safety & SecurityPlanning & Decision-making

This system automatically scans agricultural trade publications and news feeds from countries that export food to Canada, looking for newly authorized pesticides or other food-safety changes that could affect imported goods. It uses AI to translate, score relevance, and categorize articles so government analysts can decide whether to increase border-inspection testing. The system does not process personal information and its findings are used by federal government employees only.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Agricultural trade publications and news articles from Dow Jones Factiva and RSS news feeds, covering regulatory approvals, pesticide authorizations, and food-safety developments in countries that export food to Canada. No personal information is involved.

Processing

Language Models
  • Used for translation of foreign-language agricultural trade publications and news into English for analysis by Canadian government staff.
Classification & Prediction
  • Performs relevance scoring, categorization, and near-duplicate detection on ingested articles to prioritize items warranting analyst attention.

What it does

Understanding (Semantic AI)
Human decides
  • Extracts meaning from agricultural trade publications and news articles — identifying relevant regulatory events such as new pesticide authorizations — and surfaces them for analyst review. Government employees decide what action to take based on the system's findings.
Deciding (Analytical AI)
Human decides
  • Scores and ranks articles by relevance to food-safety concerns, classifies them by category, and performs near-duplicate detection. Outputs inform but do not replace human analyst judgment about inspection priorities.

Outputs

A recommendation or prediction
Anonymized data
  • Ranked and categorized articles with relevance scores and geographic resolution, surfaced to government employees as advisory intelligence to support decisions about border residue testing. No binding decisions are made automatically.

Run by

National Research Council Canada (NRC)
  • Federal research and technology organization that develops and operates FIESCA to support the Canadian Food Inspection Agency's border-residue testing decisions.

Government of Canada AI Register — FIESCA (2526-NRC-CNRC-013)

Built by

Government of Canada
  • The system was developed by the Government of Canada. No third-party commercial vendor is identified as the developer in the register entry.

Government of Canada AI Register — FIESCA (2526-NRC-CNRC-013)

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Outputs are accessible to Government of Canada employees (GC employees) only, as stated in the register. No public access or third-party sharing is described.
Not available to me
  • The system's outputs are not available to members of the public. The register also notes that AI use is not disclosed to users of services that may be affected by the system's downstream recommendations.

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 records that AI use is not disclosed to users. There is no described mechanism for members of the public or affected parties to learn how this system operates or influences food inspection decisions. Individuals seeking information about the Government of Canada's AI use may contact the National Research Council Canada through official channels.

Risks and safeguards

  • Financial & business harmImporters whose goods are flagged for increased border residue testing based on FIESCA intelligence could face financial harm if testing decisions are based on inaccurate translations, false relevance scores, or miscategorized articles.Safeguard: The system is explicitly advisory — GC employees review outputs before any testing decisions are made, providing a human check on automated recommendations. No personal information is processed, limiting the risk of targeted individual harm.