AI Infrastructure and Tools for Tribunal Staff
Research & Development
What it collects that can identify you
- The system involves personal information, as disclosed in the AI register. Given the tribunal support context, this may include information about GC employees using the system and potentially about individuals whose cases are processed by the supported tribunals.
Also collects operational data, which is anonymized data.
- Run by
- Administrative Tribunals Support Service of Canada (ATSSC)
- Where
- No fixed location
- Kept
- Not stated by the Helpful Places.
- Shared with
- Accountable organization
- Your copy
- You cannot see the data it holds about you. What you can do
What it is for
This system establishes the technical infrastructure, tools, and skills needed to support future AI solutions at the Administrative Tribunals Support Service of Canada (ATSSC) and the tribunals it serves. It handles information classified up to Protected B and is used by Government of Canada employees. Personal information is involved, and users are informed when AI is in use.
What it collects and what happens to it
Data taken in
- The system involves personal information, as disclosed in the AI register. Given the tribunal support context, this may include information about GC employees using the system and potentially about individuals whose cases are processed by the supported tribunals.
- As an infrastructure proof of concept supporting tribunal operations, the system likely processes operational and administrative data up to Protected B classification, including tribunal records and internal government documents.
Processing
- The infrastructure is designed to support generative and agentic AI solutions, which typically rely on large language models. The proof of concept is establishing the architecture to deploy such models within Government of Canada security requirements up to Protected B.
What it does
- The system is building infrastructure for future generative AI solutions. At the proof-of-concept stage, generative capabilities are being tested with human oversight; GC employees decide how and when generated content is used.
- The infrastructure is also being built to support future agentic AI solutions. At the current proof-of-concept stage, any agentic capabilities are exploratory, with human review of all actions and outcomes.
Outputs
- As the system is developing infrastructure for generative AI, expected outputs include AI-generated text and content to support tribunal staff workflows. The precise content types will depend on future use cases built on this infrastructure.
- The system is expected to produce operational outputs supporting tribunal administration, such as summaries, drafts, or task outputs generated through agentic workflows for GC employees.
Run by
- The ATSSC is the Government of Canada institution deploying this AI proof of concept to identify tools and develop infrastructure and skills for future AI solutions for itself and the tribunals it supports.
Built by
- The system was developed by the Government of Canada, serving as the technology provider for this AI infrastructure proof of concept.
Kept for
Not stated by the Helpful Places.
Shared with
- Data produced by the system is available to ATSSC and the Government of Canada employees who operate and use the system. Access is restricted to GC employees with appropriate security clearance.
- The system is an internal government tool for GC employees only. Members of the public and individuals whose information may be processed by the system do not have direct access to the data it produces.
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.
- AI registerGovernment of Canada AI Register — AI Proof of Concept (2526-ATSSC-SCDATA-003)Administrative Tribunals Support Service of Canada, AI Register entry 2526-ATSSC-SCDATA-003.
- AI registerGovernment of Canada AI Register — AI Proof of Concept
- AI registerGovernment of Canada AI Register — AI Proof of Concept
- Register entryPublished by the Helpful Places. Reference 4594931e. This disclosure was drafted with AI assistance.Schema: ai@2026-05-06-beta
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 AI register confirms that AI use is disclosed to users of this system. GC employees using the system are informed when they are interacting with or receiving outputs from AI.
- Right to Algorithmic TransparencyThis system is listed on the Government of Canada's public AI register, providing a degree of transparency about the existence and purpose of the AI infrastructure. Further details about algorithmic logic will depend on the specific AI solutions built on this infrastructure.
Risks and safeguards
- Civil liberties harmAs an AI system operating in a tribunal support context with access to personal information classified up to Protected B, there is a risk that AI-assisted decisions or outputs could affect individuals' legal rights or due process. Mitigations include limiting the system to GC internal users, requiring human review of AI outputs before any consequential use, and ensuring AI use is disclosed to users. The system is still in development, allowing safeguards to be built in before full deployment.