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Helpful Places

Government of Canada – DTPR AI Register

AI Risk Scoring for Technician Oversight and Compliance

Enforcement · Risk Assessment & Triage

What it collects that can identify you

Sensitive personal information
Pseudonymous data
  • Qualitative information and performance data collected about individual technicians working for recognized service providers. Data is collected via inspections and web forms and used to build per-technician profiles.

Also collects operational data, which is anonymized data.

Run by
Innovation, Science and Economic Development Canada (ISED)
Where
No fixed location
Kept
Retained unspecified — data collected during pilot period will be used to construct predictive models
Shared with
Accountable organization
Your copy
You cannot see the data it holds about you. What you can do

What it is for

EnforcementRisk Assessment & Triage

This system collects performance data about measurement-industry service providers and their individual technicians, then uses that data to assign risk scores and recommend how frequently each technician should be monitored or evaluated. It is a government pilot operated by Innovation, Science and Economic Development Canada. The data collected during the pilot will also be used to build predictive models for future oversight decisions.

What it collects and what happens to it

Data taken in

Sensitive personal information
Pseudonymous data
  • Qualitative information and performance data collected about individual technicians working for recognized service providers. Data is collected via inspections and web forms and used to build per-technician profiles.
Operational data
Anonymized data
  • Inspections data collected by Measurement Canada and authorized service providers, as well as internally collected qualitative performance data through web forms about service provider organizations.

Processing

Classification & Prediction
  • Assigns numeric risk scores to technicians and organizations based on collected performance and qualitative data. A secondary module uses calculated risk to recommend monitoring dates and evaluation frequency for each technician.

What it does

Deciding (Analytical AI)
Human decides
  • Scores and ranks technicians and service providers by calculated risk level. The system produces risk scores and recommended monitoring frequencies; GC employees act on those outputs. Final monitoring and enforcement decisions rest with government staff.

Outputs

A recommendation or prediction
Anonymized data
  • Risk scores indicating the level of monitoring appropriate for each technician and organization, plus recommended monitoring dates for technicians based on risk calculated from previous performance history. Outputs are advisory — GC employees act on the recommendations.
Sensitive personal information
Pseudonymous data
  • Per-technician risk profiles used internally by GC employees to prioritize and schedule monitoring and evaluation activities. The register states personal information is not involved, but per-technician profiles are explicitly created.

Run by

Innovation, Science and Economic Development Canada (ISED)
  • Federal department responsible for deploying and operating this pilot AI system to monitor recognized technicians and service providers in the measurement industry.

Government of Canada AI Register — 2526-ISED-ISDE-009

Built by

Government of Canada
  • The system was developed by the Government of Canada, which acts as both developer and operator for this pilot.

Government of Canada AI Register — 2526-ISED-ISDE-009

Kept for

Retained unspecified — data collected during pilot period will be used to construct predictive models
  • The register does not specify a concrete retention period. Data collected during the pilot is explicitly intended for future model development, implying retention beyond the pilot phase.
  • Duration: unspecified — data collected during pilot period will be used to construct predictive models

Shared with

Not available to me
  • Risk scores and monitoring recommendations are used internally by GC employees. Individual technicians and service providers are not described as having access to their own scores or profiles.
Available to the accountable organization
  • Outputs and profiles are accessible to GC employees at Measurement Canada and Innovation, Science and Economic Development Canada who use the system for monitoring and enforcement decisions.

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 Algorithmic TransparencyThe AI register entry discloses that AI use is communicated to affected parties. Technicians and service providers are informed that an AI system is in use, in keeping with the Government of Canada's AI transparency commitments. Specific contact channels for further information are not described in the register entry.
  • Right to Be Informed of AI UseThe register confirms that AI use is disclosed to the users (technicians and service providers) affected by this system. Individuals subject to monitoring are informed that automated tools contribute to oversight decisions about them.

Risks and safeguards

  • Reputational harmPer-technician risk profiles and scores could stigmatize individual technicians through inaccurate or unfair risk categorization, potentially affecting their professional standing. The system is in pilot phase, with data collected during the pilot intended to construct and validate predictive models; risk of model error or bias affecting individual reputations is elevated during this period.Safeguard: the system is flagged as in-development; outputs are reviewed by GC employees before action is taken, providing a human check on automated scoring.