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Helpful Places

Government of Canada – DTPR AI Register

AI Chat Assistant for Government Employees

Inform

What it collects

Operational data
Anonymized data
  • Employee queries and prompts submitted to the chatbot, which may include information at up to Protected B sensitivity. No personal information is involved according to the register.
Generated content
Anonymized data
  • The large language model knowledge base serves as a pre-built input corpus, representing content generated or curated to ground model responses.
Run by
Environment and Climate Change Canada (ECCC)
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

Inform

Environment and Climate Change Canada's Digital Services Branch has developed an internal AI-powered chatbot for use by Government of Canada employees. The system can handle Protected B information and is connected to an AI workflow engine with agentic capabilities, meaning it can autonomously carry out multi-step tasks on a user's behalf. The chatbot's knowledge comes from a large language model. Users are informed that they are interacting with an AI system.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Employee queries and prompts submitted to the chatbot, which may include information at up to Protected B sensitivity. No personal information is involved according to the register.
Generated content
Anonymized data
  • The large language model knowledge base serves as a pre-built input corpus, representing content generated or curated to ground model responses.

Processing

Language Models
  • The system is built on a large language model (LLM) knowledge base. The specific model or provider is not disclosed in the register entry.

What it does

Creating (Generative AI)
Human decides
  • The chatbot generates text responses to employee queries using a large language model. Employees decide how to act on the responses.
Acting (Agentic AI)
Human executes
  • The system integrates with an AI workflow engine and has agentic capabilities, allowing it to plan and execute multi-step tasks on behalf of users. The degree of human oversight over each agentic action is not fully specified in available documentation.

Outputs

Generated content
Anonymized data
  • The chatbot produces AI-generated text responses to employee queries. Users are informed that the content is AI-generated.
Operational data
Anonymized data
  • In agentic mode, the system may produce structured outputs such as completed workflow steps, scheduled actions, or administrative records on behalf of the user.

Run by

Environment and Climate Change Canada (ECCC)
  • Environment and Climate Change Canada's Digital Services Branch developed and deploys the internal chatbot for use by Government of Canada employees.

Government of Canada AI Register — 2526-ECCC-006

Built by

Government of Canada
  • The system was developed by the Government of Canada, with the Digital Services Branch of Environment and Climate Change Canada leading the build.

Government of Canada AI Register — 2526-ECCC-006

Kept for

Not stated by the Helpful Places.

Shared with

Not available to me
  • The chatbot is restricted to internal Government of Canada employees only. Members of the public do not have access to this system or its outputs.
Available to the accountable organization
  • GC employees are the primary users and have access to the chatbot's responses within their work context.

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 UseGovernment of Canada employees are informed that they are interacting with an AI system, as confirmed by the register entry (AI use disclosed to users: Y).
  • Right to Algorithmic TransparencyThe system is listed on the Government of Canada's public AI register, providing employees and the public with information about its general purpose and capabilities. Further details about the underlying model and logic are not disclosed in the available documentation.

Risks and safeguards

  • Psychological harmEmployees may over-rely on AI-generated responses for sensitive or complex decisions, or may experience distress from incorrect outputs involving Protected B information.Safeguard: AI use is disclosed to users; human oversight is implied by the deployer context; the system is still in development, suggesting iterative safety testing before full production.
  • Societal & cultural harmAgentic AI systems integrated into government workflows could erode institutional decision-making practices or create opaque dependencies on AI outputs for public-service delivery.Safeguard: The system is scoped to internal GC employees only, limiting direct public impact; disclosure of AI use to users is confirmed.