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AI Prediction for Business Name Registration Approval

Eligibility & Public Benefits

What it collects

Not stated by the Helpful Places.

Run by
Innovation, Science and Economic Development Canada (ISED)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Not stated by the Helpful Places.

What it is for

Eligibility & Public Benefits

This system uses AI to predict whether a business name registration request submitted through the NUANS system will be accepted by the relevant jurisdiction. It is intended for use by members of the public applying to register a business name in Canada. The system is currently in development, and many technical details — including the data it will use and its exact capabilities — have not yet been determined.

What it collects and what happens to it

Data taken in

Not stated by the Helpful Places.

Processing

Not stated by the Helpful Places.

What it does

Deciding (Analytical AI)
Human decides
  • The system produces a prediction score or likelihood rating for whether a business name registration submission will be accepted. This output is advisory — the applicant and the relevant jurisdiction ultimately decide whether to proceed with the filing.

Government of Canada AI Register — 2526-ISED-ISDE-023

Outputs

A recommendation or prediction
Anonymized data
  • A predicted likelihood score or acceptance prediction for whether a specific business name registration request will be accepted across the applicable Canadian jurisdictions.

Government of Canada AI Register — 2526-ISED-ISDE-023

Run by

Innovation, Science and Economic Development Canada (ISED)
  • The federal department responsible for deploying and operating this AI system to predict the likelihood of business name registration requests being accepted across Canadian jurisdictions.

Government of Canada AI Register — 2526-ISED-ISDE-023

Built by

Government of Canada
  • The system was developed by the Government of Canada. No external vendor has been identified in the register entry.

Government of Canada AI Register — 2526-ISED-ISDE-023

Kept for

Not stated by the Helpful Places.

Shared with

Not stated by the Helpful Places.

Stored

Not stated by the Helpful Places.

How to read the colours

Can it identify you?

Anonymized data
Output about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so the result can’t reasonably be tied back to an individual.
Pseudonymous data
The output is labelled with a token (hash, ID, template) that lets this system tie the result to the same person across events without revealing a name. Reidentification is possible with extra information.
Identifiable data
The output names a person directly (name, address, account, recognisable face or voice, plate) or carries a token this system resolves to legal identity in the same step.

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 Government of Canada has disclosed that this system uses AI, and has committed to informing users of AI use. For further information about how the system works, contact Innovation, Science and Economic Development Canada through the Government of Canada's general enquiry channels.
  • Right to Be Informed of AI UseThe register confirms that AI use will be disclosed to users of this system. Members of the public interacting with the NUANS business name submission process will be informed when AI is being used to generate predictions about their filing.

Risks and safeguards

  • Reputational harmApplicants whose names are incorrectly predicted as likely to be rejected may be deterred from registering a valid business name, or conversely may proceed with names that will ultimately be refused, wasting time and fees.Safeguard: The system is in development; the register indicates that capabilities and data sources are still to be determined. The system output is presented as a prediction rather than a binding decision, and AI use is disclosed to users.
  • Financial & business harmInaccurate predictions could lead applicants to pay registration fees for business names that are likely to be rejected, or to forgo registration of a name that would have been accepted, resulting in financial loss or missed business opportunity.Safeguard: The system is advisory only; final acceptance decisions remain with the relevant jurisdiction. AI use is disclosed, allowing users to seek independent advice before filing.