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Helpful Places

Government of Canada – DTPR AI Register

AI Discovery Assistant for Grants and Contributions

Eligibility & Public Benefits · Inform

What it collects

Operational data
Anonymized data
  • Canadian Heritage funding webpages, including program structure documentation and program guidelines, used to enrich the LLM's knowledge base.
About behaviour
Anonymized data
  • User queries and interactions with the AI discovery tool, used to match funding program information to user needs. The register states no personal information is involved.
Run by
Canadian Heritage (PCH)
Where
No fixed location
Kept
No data retained
Shared with
Not stated by the Helpful Places.
Your copy
You cannot see the data it holds about you. What you can do

What it is for

Eligibility & Public BenefitsInform

This AI-powered tool was developed by Canadian Heritage to help members of the public discover funding programs and navigate grants and contributions. It used a Large Language Model enriched with the department's program guidelines to answer questions about available funding. The system was a time-limited experiment and has since been retired. Users were not informed that AI was in use when interacting with the tool.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Canadian Heritage funding webpages, including program structure documentation and program guidelines, used to enrich the LLM's knowledge base.
About behaviour
Anonymized data
  • User queries and interactions with the AI discovery tool, used to match funding program information to user needs. The register states no personal information is involved.

Processing

Language Models
  • An enriched Large Language Model (LLM) built on the Department's program structure and program guidelines, used to answer questions and guide users toward relevant funding opportunities.

What it does

Understanding (Semantic AI)
Human decides
  • The system retrieves and matches meaning from the department's program structure and guidelines to answer user queries about available funding programs.
Creating (Generative AI)
Human decides
  • An enriched Large Language Model generates natural-language responses to guide users toward relevant funding programs based on their queries.

Outputs

A recommendation or prediction
Anonymized data
  • Recommendations about relevant grants and contributions programs based on user queries, helping members of the public identify applicable funding opportunities.
Generated content
Anonymized data
  • Natural-language responses generated by the LLM to explain and describe funding programs in response to user queries.

Run by

Canadian Heritage (PCH)
  • The federal department that conducted the AI experiment and deployed the grants and contributions discovery tool for public use.

Government of Canada AI Register — 2526-PCH-003

Built by

Levio
  • The vendor that developed the AI-powered discovery tool. Originally developed by Systemscope prior to their acquisition by Levio.

Government of Canada AI Register — 2526-PCH-003

Kept for

No data retained
  • The register states no personal information is involved. The system has been retired, so no ongoing data retention applies.
  • Duration: No personal data collected; system retired

Shared with

Not available to me
  • The register states that no personal information is collected, so there is no personal data for individuals to access. The system has also been retired.

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 register explicitly states that AI use was not disclosed to users during the experiment. Users interacting with this tool were not informed they were engaging with an AI system. The system has since been retired.
  • Right to Algorithmic TransparencyThis register entry provides public documentation about how the AI system functioned — an LLM enriched with departmental program guidelines used for grants and contributions discovery. The system is now retired and no longer in operation.

Risks and safeguards

  • Societal & cultural harmThe AI use was not disclosed to users, meaning members of the public did not know they were interacting with an AI system rather than a human or standard web tool. This could erode trust if discovered after the fact, and may have affected informed consent. Mitigation applied: The system was limited to a ten-week experiment and has since been retired. The departmental lead and vendor CEO showcased the system publicly at DPI Professional Development Week 2025, providing some post-hoc transparency.