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Helpful Places

Government of Canada – DTPR AI Register

AI-Assisted Transcription, Translation, and Subtitling for Government Video

Translation & Language Access · Accessibility

What it collects

About a measurement
Anonymized data
  • Audio and video content files submitted by CRA employees for transcription and subtitling. The register confirms no personal information is involved.

AI Register — Description and Involves personal information fields

Operational data
Anonymized data
  • A CRA/GoC terminology repository of 30,000+ common terms in both official languages is used as reference data to improve translation quality.

AI Register — Data sources field

Run by
Canada Revenue Agency (CRA)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization

What it is for

Translation & Language AccessAccessibility

This system automates the transcription and translation of audio and video content produced by the Canada Revenue Agency, and generates subtitles and redubbed audio tracks in both official languages. It is used by Government of Canada employees to reduce manual effort in making content bilingual and accessible. No personal information is collected or processed. Users are informed that AI is in use.

What it collects and what happens to it

Data taken in

About a measurement
Anonymized data
  • Audio and video content files submitted by CRA employees for transcription and subtitling. The register confirms no personal information is involved.

AI Register — Description and Involves personal information fields

Operational data
Anonymized data
  • A CRA/GoC terminology repository of 30,000+ common terms in both official languages is used as reference data to improve translation quality.

AI Register — Data sources field

Processing

Speech & Audio
  • Speech-to-text transcription of CRA audio and video content is the first processing step, converting spoken word into text for downstream translation and subtitle generation.

AI Register — Description field

Language Models
  • Language model components handle automated translation of transcripts between English and French, leveraging a CRA/GoC terminology repository of 30,000+ terms to improve domain accuracy.

AI Register — Capabilities and Data sources fields

What it does

Sensing (Perceptive AI)
Human decides
  • The system senses spoken audio and video content, converting raw audio signals into structured transcriptions that downstream translation and subtitle components can use.

AI Register — Description field

Creating (Generative AI)
Human decides
  • The system generates new translated subtitle text and redubbed audio tracks that did not exist before processing. A human reviewer is expected to validate outputs before publication.

AI Register — Description field

Outputs

Generated content
Anonymized data
  • The system produces transcript text, translated subtitle files, and redubbed audio and video tracks in both official languages. No personal information is contained in outputs.

AI Register — Description field

Run by

Canada Revenue Agency (CRA)
  • Federal government department deploying the automated subtitling system for internal use by GC employees.

AI Register — Department field

Built by

Open Source
  • The system is developed using open source software rather than a proprietary vendor. No specific third-party vendor is named in the register.

AI Register — Developed by field

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Outputs (transcripts, subtitles, redubbed content) are available to CRA and GC employees as the primary users of the system.

AI Register — Primary users field

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 UseUsers are informed that this system uses AI. The register records that AI use is disclosed to users (AI use disclosed to users: Y).

Risks and safeguards

  • Societal & cultural harmAutomated translation may introduce terminology errors or culturally inappropriate phrasings in official government communications. Risk is mitigated by use of a 30,000+ term CRA/GoC bilingual terminology repository, and by the system being in development with human review expected before publication.