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AI Chatbot for Manufacturing and Logging Survey Respondents

Inform · Research & Development

What it collects

Operational data
Anonymized data
  • Publicly available reference webpages related to survey concepts and definitions for the Annual Survey of Manufacturing and Logging. These are institutional reference documents, not personal data about respondents.
About behaviour
Anonymized data
  • Questions submitted by survey respondents during the chatbot session. The register states that no personal information is involved; questions are treated as non-identifiable text inputs about the survey task at hand.
Run by
Statistics Canada (StatCan)
Where
No fixed location
Kept
Not stated by the Helpful Places.
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

InformResearch & Development

This AI-powered chatbot helps businesses completing Statistics Canada's Annual Survey of Manufacturing and Logging by answering questions instantly, explaining survey concepts, and guiding respondents through the form. It is designed to improve the quality of data collected and reduce the workload on Statistics Canada staff. The system uses generative AI and draws on publicly available reference materials related to the survey. 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
  • Publicly available reference webpages related to survey concepts and definitions for the Annual Survey of Manufacturing and Logging. These are institutional reference documents, not personal data about respondents.
About behaviour
Anonymized data
  • Questions submitted by survey respondents during the chatbot session. The register states that no personal information is involved; questions are treated as non-identifiable text inputs about the survey task at hand.

Processing

Language Models
  • A generative large language model (LLM) underlies the chatbot, producing natural-language answers from retrieved reference content related to the Annual Survey of Manufacturing and Logging.
Search & Retrieval
  • The system retrieves relevant passages from publicly available survey reference webpages to ground the chatbot's generated responses in authoritative source material.

What it does

Creating (Generative AI)
Human decides
  • The system generates natural-language answers to survey respondents' questions based on publicly available reference content. Respondents read the AI-generated responses and decide how to complete the survey form — the AI advises, it does not file responses on their behalf.
Understanding (Semantic AI)
Human decides
  • The chatbot interprets the intent of respondents' questions in natural language and retrieves relevant information from survey reference materials before generating a reply.

Outputs

Generated content
Anonymized data
  • Natural-language explanations and guidance generated by the chatbot in direct response to survey respondents' questions. Output is informational text, not a decision or action. No personal information is included in outputs, per the register.

Run by

Statistics Canada (StatCan)
  • Statistics Canada is the federal government department responsible for producing statistics about Canada's economy, society, and environment. It develops and operates this chatbot to support respondents to the Annual Survey of Manufacturing and Logging.

ASML EQ Chatbot — AI Register Entry 2526-StatCan-024

Built by

Government of Canada
  • The Government of Canada is listed as the developer of this AI system, indicating that it was built in-house rather than procured from a private vendor.

ASML EQ Chatbot — AI Register Entry 2526-StatCan-024

Kept for

Not stated by the Helpful Places.

Shared with

Not available to me
  • The register confirms that no personal information is involved in this system. Individual respondents do not have a dataset of personal data to request or access.

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 UseUsers are informed that they are interacting with an AI system before or during the chatbot interaction, as confirmed by the register entry (AI use disclosed to users: Yes).
  • Right to Algorithmic TransparencyInformation about this AI system is published on the Government of Canada's AI Register, describing its purpose, capabilities, and data sources. Members of the public may consult the register to understand how the system works in general.

Risks and safeguards

  • Societal & cultural harmThe chatbot may generate inaccurate or misleading information about survey concepts, leading respondents to submit incorrect data, which could distort national manufacturing and logging statistics.Safeguard: The system is grounded in publicly available, authoritative reference webpages related to the survey; the system is currently in development, allowing for testing and quality assurance before full deployment; human staff (data collection clerks and infostats) remain available as a backstop.