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Government of Canada – DTPR AI Register

AI-Assisted Police Report Drafting from Body Camera Audio

Enforcement

What it collects that can identify you

Biometric
Identifiable data
  • Audio captured by body-worn cameras worn by RCMP officers, which may include voices and statements of members of the public, suspects, witnesses, and officers themselves during policing incidents.
Run by
Royal Canadian Mounted Police (RCMP)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization

What it is for

Enforcement

Draft One is an AI tool used by RCMP officers that listens to audio from their body-worn cameras, transcribes it, and generates a draft narrative for police reports. Officers must review and edit the draft before it is finalized. The system processes audio that may contain personal information about members of the public, and the use of AI in this process is disclosed to users.

What it collects and what happens to it

Data taken in

Biometric
Identifiable data
  • Audio captured by body-worn cameras worn by RCMP officers, which may include voices and statements of members of the public, suspects, witnesses, and officers themselves during policing incidents.

Processing

Speech & Audio
  • The system uses speech-to-text transcription to convert body-worn camera audio into text, which is then fed into a large language model for report generation.
Language Models
  • A generative large language model (LLM) developed by Axon processes the transcribed audio text to produce a draft narrative summarizing the policing incident for inclusion in an official report.

What it does

Sensing (Perceptive AI)
Human executes
  • The system transcribes spoken audio from body-worn camera recordings into structured text, converting raw audio signals into usable content for downstream processing.
Creating (Generative AI)
Human executes
  • A generative large language model summarizes the transcribed audio into a draft police report narrative. Officers review and edit the draft before finalizing it.

Outputs

Generated content
Identifiable data
  • A draft narrative report summarizing the policing incident, generated from the body-worn camera audio. The draft is reviewed and edited by the officer before being finalized as part of an official police report. Because it describes specific incidents involving specific people, the output is identifiable.

Run by

Royal Canadian Mounted Police (RCMP)
  • The RCMP deploys Draft One to assist its officers in generating draft reports from body-worn camera audio. Officers are the primary users of the system.

Government of Canada AI and Data Solutions Registry — Draft One (2526-RCMP-GRC-013)

Built by

Axon
  • Axon is the vendor that developed Draft One, an AI-powered software product for law enforcement report writing using body-worn camera audio.

Government of Canada AI and Data Solutions Registry — Draft One (2526-RCMP-GRC-013)

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • The finalized police reports and any intermediate outputs (transcriptions, draft narratives) are available to the RCMP as the deploying organization. The extent to which Axon as the vendor retains access to the audio, transcriptions, or draft content is not specified in the register.

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 UseThe register indicates that AI use is disclosed to users (RCMP officers). There is no information in the register about whether members of the public whose voices are captured by body-worn cameras are informed that AI will process this audio to generate police reports.
  • Right to a Human ReviewEvery AI-generated draft must be reviewed, edited, and finalized by the officer before becoming an official report. This human review step is built into the system workflow and is not optional.

Risks and safeguards

  • Reputational harmAI-generated draft narratives may contain transcription errors or inaccurate summaries that misrepresent events or individuals involved in a policing incident, potentially harming the reputation of members of the public or officers. The system requires officers to review, edit, and finalize every draft before it becomes an official record, providing a mandatory human-in-the-loop check before any report is submitted.
  • Civil liberties harmLaw enforcement reports generated with AI assistance may contain errors that affect individuals' legal rights, including the right to accurate documentation of interactions with police. Inaccurate or biased AI summaries that become part of official police records could influence investigations, prosecutions, or other consequential decisions. The mandatory officer review step is the primary mitigation; however, the register does not describe additional bias auditing, accuracy benchmarks, or independent oversight mechanisms specific to this deployment.