AI-Assisted Conflict Zone Risk Monitoring for Civil Aviation
Safety & Security · Risk Assessment & Triage
What it collects
- Published news articles and open-source media content about global conflict events, including NewsDesk feeds. These are publicly available journalistic outputs describing events, not personal data about individuals.
- Run by
- Transport Canada (TC)
- 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
REACT is an AI system used by Transport Canada's Conflict Zone Information Office to monitor global news and open-source media for threats to civil aviation. It automatically summarizes news articles, scores risks, and analyzes sentiment to help government employees assess which conflict zones may endanger aircraft. The system is currently under development and its outputs are used internally by Canadian federal employees, not members of the public directly.
What it collects and what happens to it
Data taken in
- Published news articles and open-source media content about global conflict events, including NewsDesk feeds. These are publicly available journalistic outputs describing events, not personal data about individuals.
Processing
- Large language model (LLM) used for summarization of open-source news and media articles about global conflict zones, as well as for supporting risk analysis pipelines.
- Machine learning models perform risk scoring — classifying and scoring conflict-related threats to civil aviation based on open-source media inputs.
- Sentiment analysis is applied to news articles and media content to gauge the tone and severity of reporting about conflict events, informing the risk scoring process.
What it does
- REACT classifies and scores open-source media content by conflict-related risk level. GC employees (primary users) review the scores and make final assessments — the AI is advisory and the system is still in development.
- Sentiment analysis is applied to news and media text to extract meaning about tone and context surrounding conflict events, supporting downstream risk scoring by human analysts.
- An LLM is used to generate summaries of news articles and open-source media content about conflict zones. These summaries are presented to GC employees for review and are not published directly.
Outputs
- The system outputs risk scores, summaries, and assessments about global conflict zones and their threat levels to civil aviation. These are advisory outputs presented to GC employees, who make final decisions. Outputs are not about identifiable individuals.
Run by
- Transport Canada's Conflict Zone Information Office leads the REACT project, deploying the system to monitor and assess global conflict-related threats to civil aviation on behalf of the Government of Canada.
Built by
- The system was developed by the Government of Canada. No external vendor or commercial AI provider is identified in the register entry.
Kept for
Not stated by the Helpful Places.
Shared with
- Outputs and data produced by REACT are available to GC employees at Transport Canada's Conflict Zone Information Office. The register does not indicate any public or third-party access.
- Members of the public do not have access to the risk assessments, summaries, or scores produced by REACT. The system is an internal government tool.
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 Algorithmic Impact Assessment Register — REACT (2526-TC-010)Transport Canada, Conflict Zone Information Office. AI Register ID: 2526-TC-010.
- AI registerGovernment of Canada AI Register — REACT (2526-TC-010)
- AI registerGovernment of Canada AI Register — REACT (2526-TC-010)
- Register entryPublished by the Helpful Places. Reference 841374c0. 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 Algorithmic TransparencyREACT is listed on the Government of Canada's AI and Algorithmic Systems register, providing public disclosure of its existence, purpose, and capabilities. Members of the public may consult the register at open.canada.ca for information about how the system works.
- Right to Be Informed of AI UseThe Government of Canada publishes its use of this AI system on the open government data portal. As the system affects internal government processes rather than individual members of the public directly, broader notice mechanisms are not described in the register.
Risks and safeguards
- Civil liberties harmREACT processes open-source public media, not personal data about individuals, which limits direct civil liberties risk. However, conflict zone assessments could indirectly influence policy decisions affecting travellers or airspace users.Safeguard: outputs are advisory only and reviewed by GC employees before any action is taken; the system is not used to profile individuals.