All technologies
Every technology the The Government of Canada has published on this register. Narrow it by what it is for or whether it can identify you.
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.
Showing 5 of 421 published
  AI Assistant for Cloud Infrastructure Management Inform · Energy Efficiency · Safety & Security | Financial Consumer Agency of Canada (FCAC) | Pseudonymous data | No fixed location |
  AI-Accelerated Molecule Discovery for Healthcare and Clean Energy Research & Development · Healthcare · Energy Efficiency · Ecology | National Research Council Canada (NRC) | Anonymized data | No fixed location |
 AI-Assisted Energy and Emissions Optimization for Industry Energy Efficiency · Ecology | Natural Resources Canada (NRCan) | Anonymized data | No fixed location |
AI-Assisted Fault Detection for Industrial Processes and Buildings Energy Efficiency · Planning & Decision-making | Natural Resources Canada (NRCan) | Anonymized data | No fixed location |
AI-Powered CO2 Capture Performance and Cost Prediction Energy Efficiency · Planning & Decision-making · Research & Development | Natural Resources Canada (NRCan) | Anonymized data | No fixed location |