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AI Assistant for Government Employee Productivity

Inform · Employment & Work · Translation & Language Access · Research & Development

What it collects

About behaviour
Anonymized data
  • User-initiated queries, prompts, and interaction sequences typed or uploaded into the platform during a session. No classified or personal information is permitted.
Operational data
Anonymized data
  • Documents, text files, images, tabular data, and code files uploaded by employees for analysis, summarization, or drafting tasks. Limited to public or unclassified content. May include web data.
Run by
Innovation, Science and Economic Development Canada (ISED)
Where
No fixed location
Kept
Retained Not specified
Shared with
Accountable organization
Your copy
You cannot see the data it holds about you. What you can do

What it is for

InformEmployment & WorkTranslation & Language AccessResearch & Development

Radia is an experimental generative AI platform available to Government of Canada employees at Innovation, Science and Economic Development Canada. It allows staff to summarize documents, draft text, translate content, analyze data, write code, and build automated workflows using large language models. The platform is restricted to unclassified information and is currently in a proof-of-concept phase. Employees interact with it knowingly, and no personal information is collected or processed.

What it collects and what happens to it

Data taken in

About behaviour
Anonymized data
  • User-initiated queries, prompts, and interaction sequences typed or uploaded into the platform during a session. No classified or personal information is permitted.
Operational data
Anonymized data
  • Documents, text files, images, tabular data, and code files uploaded by employees for analysis, summarization, or drafting tasks. Limited to public or unclassified content. May include web data.

Processing

Language Models
  • The platform provides access to a mix of open-source and proprietary large language models via APIs, enabling text generation, summarization, translation, question answering, and code assistance. Multiple models can be compared side-by-side.
Search & Retrieval
  • Retrieval-augmented generation pipelines connect the language models to internal knowledge bases, surfacing relevant documents and data to ground model responses in departmental context.

What it does

Creating (Generative AI)
Human decides
  • Generates new text, images, summaries, translations, and code on demand. Employees review and decide whether to use the output; the system does not automatically apply generated content to any official record or workflow.
Understanding (Semantic AI)
Human decides
  • Retrieves and grounds responses using connected internal knowledge bases, matching user queries to relevant documents or policies within the departmental environment.
Acting (Agentic AI)
Human decides
  • Supports the design and execution of automated workflows through autonomous agents. Employees configure and trigger these workflows; human review governs consequential outputs before they are acted upon.

Outputs

Generated content
Anonymized data
  • The system produces new text (summaries, drafts, translations, answers, code) and visual content on request. Outputs are advisory and reviewed by employees before use. Outputs are not tied to identified individuals.
Operational data
Anonymized data
  • Automated workflow outputs such as structured data extractions, code outputs, and multi-step agent task results that support departmental operational processes.

Run by

Innovation, Science and Economic Development Canada (ISED)
  • Federal department that developed and operates the Radia platform through its Communications Research Centre, restricting use to Government of Canada employees for unclassified work.

GC AI Registry — 2526-ISED-ISDE-004

Built by

LibreChat
  • Open-source chat platform vendor whose software forms the base of the Radia platform, extended with custom integrations for intelligent agents, knowledge base connectivity, and departmental system integration.

GC AI Registry — 2526-ISED-ISDE-004

Kept for

Retained Not specified
  • The register does not specify a retention period. As a proof-of-concept departmental system, standard Government of Canada information management retention schedules are likely to apply.
  • Duration: Not specified

Shared with

Available to the accountable organization
  • Outputs and interaction logs are available to Innovation, Science and Economic Development Canada as the deploying department, hosted within the departmental cloud environment.
Not available to me
  • Members of the public cannot access the platform or its outputs. The system is restricted to GC employees only.

Stored

Stored on 3rd Party Cloud
  • Hosted in a departmental cloud environment, which may involve third-party cloud infrastructure providers.
  • Duration: Not specified in the register entry
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 UseAI use is disclosed to users. GC employees using the Radia platform are informed that they are interacting with an AI system.
  • Right to Purpose LimitationThe platform is restricted to unclassified information and intended exclusively for GC employee use in departmental operations. Users should not input classified, sensitive, or personal information.

Risks and safeguards

  • Societal & cultural harmRisk of over-reliance on AI-generated content for government communications or decisions, or erosion of employee skill and judgment. Mitigated by restricting the platform to a proof-of-concept phase, maintaining human review of all outputs, limiting use to unclassified material, and framing the platform as a productivity tool rather than a decision-maker.
  • Reputational harmRisk that AI-generated content used in official government communications contains errors, hallucinations, or inappropriate material that could embarrass the department or mislead the public. Mitigated by disclosing AI use to users, restricting outputs to unclassified contexts, requiring employee review before any content is officially used, and operating in a controlled proof-of-concept environment.