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Helpful Places

Government of Canada – DTPR AI Register

AI-Assisted Analysis of Committee Member Surveys

Research & Development

What it collects

About behaviour
Anonymized data
  • Survey responses submitted by committee members, capturing their opinions, ratings, and open-text feedback on NSERC programs and processes.
Run by
Natural Sciences and Engineering Research Council of Canada (NSERC)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization

What it is for

Research & Development

This system uses AI to automatically process and analyse large volumes of survey responses submitted by committee members at the Natural Sciences and Engineering Research Council of Canada (NSERC). It is used by Government of Canada employees to draw insights from feedback that would be time-consuming to review manually. The system was developed by a third-party vendor (Softchoice Corporation) and is currently in production.

What it collects and what happens to it

Data taken in

About behaviour
Anonymized data
  • Survey responses submitted by committee members, capturing their opinions, ratings, and open-text feedback on NSERC programs and processes.

Processing

Classification & Prediction
  • Classifies and categorises free-text survey responses at scale, identifying themes and sentiment patterns across high volumes of committee member submissions.

What it does

Deciding (Analytical AI)
Human decides
  • The system analyses and summarises survey text responses, producing insights and patterns that GC employees then review and act upon.

Outputs

About a measurement
Anonymized data
  • Aggregated analysis results, thematic summaries, and patterns derived from survey responses, intended for use by GC employees in program oversight.

Run by

Natural Sciences and Engineering Research Council of Canada (NSERC)
  • NSERC is the federal department that deploys and operates this AI system to analyse committee member survey responses on behalf of Government of Canada employees.

Government of Canada AI Register — 2526-NSERC-CRSNG-002

Built by

Softchoice
  • Softchoice Corporation is the third-party vendor that developed this AI system for NSERC.

Government of Canada AI Register — 2526-NSERC-CRSNG-002

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Analysis outputs are available to NSERC employees (Government of Canada staff) for program review and decision support.

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

The Helpful Places has not listed specific rights for this system.

Risks and safeguards

No risks or safeguards have been published for this system yet.