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AI-Assisted Learning Catalogue Indexing and Search

Education & Learning · Wayfinding & Services

What it collects

Operational data
Anonymized data
  • CSPS course catalogue metadata — including titles, descriptions, topics, and learning objectives — used to train and run the classification and search models. No personal information is included.
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

This AI system helps Government of Canada employees find learning resources by automatically tagging, classifying, and improving search across the Canada School of Public Service course catalogue. It uses classification models and semantic search to surface more relevant results. The system does not use personal information. Users are informed that AI is involved in catalogue management.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • CSPS course catalogue metadata — including titles, descriptions, topics, and learning objectives — used to train and run the classification and search models. No personal information is included.

Processing

Classification & Prediction
  • Classification models assign tags and categories to learning resources based on catalogue metadata, enabling more accurate search results.
Search & Retrieval
  • Semantic search optimization retrieves relevant CSPS learning resources in response to employee queries, improving discoverability of courses.

What it does

Deciding (Analytical AI)
Human decides
  • Classification models score and tag learning resources from the CSPS catalogue metadata; human catalogue managers review and act on these classifications.
Understanding (Semantic AI)
Human decides
  • Semantic search optimization surfaces the most relevant course results for employee queries; the learner chooses which resource to access.

Outputs

Operational data
Anonymized data
  • Automatically generated tags, classification labels, and search-ranking signals applied to CSPS catalogue entries. No output concerns identifiable individuals.
A recommendation or prediction
Anonymized data
  • In-development Netflix-style recommendations suggest relevant learning resources to GC employees. The learner decides which to access.

Run by

Canada School of Public Service (CSPS)
  • The Canada School of Public Service (CSPS) is the federal institution that deploys this AI system to manage and improve access to its learning catalogue for Government of Canada employees.

Government of Canada AI Register — Catalogue Management AI

Built by

Microsoft Azure
  • Microsoft Azure provides the cloud AI platform and tooling on which the Catalogue Management AI is built and operated.

Government of Canada AI Register — Catalogue Management AI

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Catalogue classification outputs and search optimization signals are available to CSPS for catalogue management purposes.
Available to vendor
  • Microsoft Azure, as the platform provider, may have access to data processed through its infrastructure in accordance with the service agreement.

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 are informed that AI is used in the management and search of the CSPS learning catalogue. The AI use is disclosed to users.
  • Right to Algorithmic TransparencyInformation about this AI system, including its purpose and capabilities, is publicly disclosed through the Government of Canada's Algorithmic Impact Assessment register.

Risks and safeguards

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