AI-Assisted Analysis of Learner Feedback

Education & Learning

What it collects that can identify you

About behaviour

Identifiable data

Open-ended text responses submitted by learners during or after Canada School of Public Service training sessions, capturing their opinions, experiences, and evaluations of the learning activity. The register confirms this involves personal information.

Government of Canada AI Register — 2526-CSPS-EFPC-024

Run by: Canada School of Public Service (CSPS)
Where: No fixed location
Kept: Not stated by the Helpful Places.
Shared with: Accountable organization, Vendor

What it is for

Education & Learning

This system uses artificial intelligence to cluster and analyze open-ended feedback submitted by Government of Canada employees participating in Canada School of Public Service learning activities. It processes text responses in real time to identify themes and patterns. The AI component is powered by Mentimeter, a third-party vendor, and users are informed that AI is in use. The system handles personal information as part of the feedback analysis.

What it collects and what happens to it

Data taken in

About behaviour

Identifiable data

Open-ended text responses submitted by learners during or after Canada School of Public Service training sessions, capturing their opinions, experiences, and evaluations of the learning activity. The register confirms this involves personal information.

Government of Canada AI Register — 2526-CSPS-EFPC-024

Processing

Clustering & Segmentation

Real-time NLP clustering groups open-ended learner responses into thematic clusters without predefined labels, enabling rapid identification of common themes in feedback.

Government of Canada AI Register — 2526-CSPS-EFPC-024

What it does

Deciding (Analytical AI)

Human decides

The system classifies and clusters open-ended text responses into themes in real time, producing thematic groupings that human administrators and instructors then review and act upon.

Government of Canada AI Register — 2526-CSPS-EFPC-024

Outputs

About behaviour

Anonymized data

Thematic clusters and extracted themes derived from learner feedback, presented in aggregate to instructors and administrators for review. Individual learner responses are grouped into themes; the aggregated output is not typically tied to a named individual.

Government of Canada AI Register — 2526-CSPS-EFPC-024

Run by

Canada School of Public Service (CSPS)

The Canada School of Public Service deploys this AI system to analyze learner feedback collected during its training and learning activities for Government of Canada employees.

Government of Canada AI Register — 2526-CSPS-EFPC-024

Built by

Mentimeter

Mentimeter is the third-party vendor that supplies and operates the AI capabilities underlying this system, including the real-time NLP clustering and theme extraction features.

Government of Canada AI Register — 2526-CSPS-EFPC-024

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization

Thematic cluster outputs and aggregated learner feedback analysis results are available to Canada School of Public Service staff, including instructors and program administrators, for the purpose of improving learning offerings.

Government of Canada AI Register — 2526-CSPS-EFPC-024

Available to vendor

Learner feedback data is processed by Mentimeter's platform, meaning the vendor has access to the data as part of service delivery. The extent of Mentimeter's data access and any contractual data handling restrictions are not detailed in the register entry.

Government of Canada AI Register — 2526-CSPS-EFPC-024

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 who submit feedback through this system are informed that AI is in use, as confirmed by the AI register entry. Users are told that their open-ended responses will be processed by AI-powered clustering and theme extraction features.

Risks and safeguards

Societal & cultural harmNLP clustering may misrepresent minority viewpoints by collapsing nuanced or culturally specific feedback into dominant themes, potentially silencing dissenting or underrepresented perspectives among learners.Safeguard: AI use is disclosed to users; human instructors and administrators review AI-generated clusters before acting on them, providing an opportunity to catch misclassifications. No automated decisions about individuals are made based on this system.