AI Assistant for Federal Government Employees
Inform · Employment & Work
What it collects that can identify you
- User queries, chat prompts, and interactions entered by GC employees into the system constitute the primary behavioural input data processed at runtime.
Also collects operational data, which is anonymized data.
- Run by
- Treasury Board of Canada Secretariat (TBS)
- 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
myGCAssistant (Radia) is a bilingual AI chat platform deployed by the Treasury Board of Canada Secretariat to help federal public servants find information, draft documents, and answer routine questions more quickly. It uses large language models to generate responses grounded in authoritative sources. The system is currently in development and users are informed when they are interacting with AI.
What it collects and what happens to it
Data taken in
- User queries, chat prompts, and interactions entered by GC employees into the system constitute the primary behavioural input data processed at runtime.
- Government of Canada knowledge bases, policy documents, authoritative sources, and internal administrative records are ingested as operational data to ground the system's responses.
Processing
- The system is built on large language models that power its chat, drafting, source-backed answering, and agentic workflow capabilities in both English and French.
- Source-Backed Answers capability relies on retrieval of authoritative government documents and knowledge bases to ground generated responses.
What it does
- The system drafts text, answers, and documents in response to user prompts. A human employee reviews and decides whether to use any generated output.
- The system retrieves and grounds its answers in authoritative sources, understanding user queries in natural language to surface relevant information.
- Agentic Process Assistants capability allows the system to carry out multi-step workflows on behalf of GC employees, with human review of actions.
Outputs
- The system generates drafted text, answers to questions, and summaries in response to employee prompts. Outputs are tied to a user session but not published externally.
- The system produces source-backed recommendations and answers that employees may act upon; these are advisory in nature and do not bind any person to a decision.
Run by
- The Treasury Board of Canada Secretariat (TBS) is deploying and operating myGCAssistant (Radia) as an internal AI productivity platform for federal public servants.
Built by
- The system was developed by the Government of Canada, indicating an in-house build rather than a procurement from a commercial AI vendor.
Kept for
Not stated by the Helpful Places.
Shared with
- Outputs and interaction data are available to the Treasury Board of Canada Secretariat as the deploying organization for operational monitoring and improvement purposes.
- The register entry does not describe mechanisms for individual GC employees to access, download, or review logs of their own interactions with the system.
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.
- AI registerGovernment of Canada AI Register — myGCAssistant (Radia), 2526-TBS-SCT-002Treasury Board of Canada Secretariat, Government of Canada Algorithmic Impact Assessment / AI Register entry 2526-TBS-SCT-002.
- AI registerGovernment of Canada AI Register — myGCAssistant (Radia)
- AI registerGovernment of Canada AI Register — myGCAssistant (Radia)
- Register entryPublished by the Helpful Places. Reference ec91aa19. This disclosure was drafted with AI assistance.Schema: ai@2026-05-06-beta
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 UseAI use is disclosed to users. GC employees are informed when they are interacting with the AI system, as indicated by the register entry field 'AI use disclosed to users: Y'.
- Right to Algorithmic TransparencyThe Government of Canada has published this AI system in the public AI Register, providing information about the system's purpose, capabilities, and accountable department to the public at large.
Risks and safeguards
- Reputational harmThe system may generate inaccurate or misleading content that, if acted upon, could damage the credibility of GC employees or the institution.Safeguard: Responses are grounded in authoritative sources; users are informed of AI use; human review is required before acting on outputs.
- Societal & cultural harmBilingual AI systems may perform unequally in English and French, potentially disadvantaging francophone users or eroding French-language public service capacity.Safeguard: The system is explicitly designed to be bilingual and accessible, with equal service in both official languages as a stated requirement.
- Loss of autonomyEmployees may over-rely on AI-generated answers for complex policy or legal questions, reducing critical judgment.Safeguard: The system is framed as an assistant for everyday tasks; agentic capabilities are described as process assistants subject to human review, not autonomous decision-makers.