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Helpful Places

Government of Canada – DTPR AI Register

AI-Driven Interactive VR Film Experience

Arts & Culture

What it collects

About behaviour
Anonymized data
  • User interactions within the VR environment (choices, gaze, navigation paths, dwell times) are likely used as runtime signals to drive the reinforcement-learning model's real-time content selection. The register does not specify identifiability; anonymous is assumed for a public art experience.

Government of Canada AI Register — Agence short VR film (2526-NFB-ONF-001)

Run by
National Film Board (NFB)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Not stated by the Helpful Places.

What it is for

Arts & Culture

This system is a short interactive virtual-reality film and companion app developed for the National Film Board of Canada. It uses heuristic and reinforcement-learning AI to generate a unique, randomized experience for each viewer. Both members of the public and NFB employees interact with it. The key transparency point is that the AI actively shapes the narrative or content a viewer sees, meaning no two experiences are identical.

What it collects and what happens to it

Data taken in

About behaviour
Anonymized data
  • User interactions within the VR environment (choices, gaze, navigation paths, dwell times) are likely used as runtime signals to drive the reinforcement-learning model's real-time content selection. The register does not specify identifiability; anonymous is assumed for a public art experience.

Government of Canada AI Register — Agence short VR film (2526-NFB-ONF-001)

Processing

Not stated by the Helpful Places.

What it does

Creating (Generative AI)
Human decides
  • The AI generates a unique and random viewing experience for each user by combining heuristic and reinforcement-learning techniques to sequence or modify VR content dynamically.

Government of Canada AI Register — Agence short VR film (2526-NFB-ONF-001)

Deciding (Analytical AI)
Autonomous
  • Heuristic rules and reinforcement-learning algorithms score or rank possible content paths during the experience, deciding which narrative branch to take without human review of each individual choice.

Government of Canada AI Register — Agence short VR film (2526-NFB-ONF-001)

Outputs

Generated content
Anonymized data
  • The system produces a unique, randomized VR film sequence for each viewer — the AI-assembled narrative path is the primary output, which did not exist in that exact form before the session ran.

Government of Canada AI Register — Agence short VR film (2526-NFB-ONF-001)

Run by

National Film Board (NFB)
  • The National Film Board of Canada is the federal government department accountable for the deployment of this AI-driven VR film system.

Government of Canada AI Register — Agence short VR film (2526-NFB-ONF-001)

Built by

Transitional Forms
  • Transitional Forms is the vendor that built and supplied the AI system underlying this interactive VR film experience.

Government of Canada AI Register — Agence short VR film (2526-NFB-ONF-001)

Kept for

Not stated by the Helpful Places.

Shared with

Not stated by the Helpful Places.

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 UseViewers have the right to know that AI is actively shaping the VR film experience they receive. The National Film Board of Canada should inform users — through the app interface or accompanying materials — that heuristic and reinforcement-learning AI is used to create their unique experience.

Risks and safeguards

  • Societal & cultural harmAn AI-curated artistic experience may narrow or homogenize the cultural narratives viewers encounter, or may generate content combinations that are culturally insensitive or unintended by the filmmakers.Safeguard: The system is produced by the National Film Board of Canada, whose mandate includes cultural diversity; editorial oversight by NFB and the vendor Transitional Forms prior to deployment constrains the content pool the AI can draw from.