AI Early Warning System for Liquid Chromatography Experiments
Research & Development
What it collects
About a measurement
Anonymized data
- Liquid chromatography pressure profile readings captured from the chromatography instrument during an experiment run. No personal information is involved.
- Run by
- National Research Council Canada (NRC)
- Where
- No fixed location
- Kept
- Not stated by the Helpful Places.
- Shared with
- Not stated by the Helpful Places.
- Your copy
- You cannot see the data it holds about you. What you can do
What it is for
Research & DevelopmentQuaLC is a digital shadow system developed by the National Research Council Canada in collaboration with the University of Ottawa. It monitors liquid chromatography pressure profiles to detect and warn researchers about problems during experiments. The system is currently a prototype under development and is not yet publicly deployed. It does not involve personal information.
What it collects and what happens to it
Data taken in
About a measurement
Anonymized data
- Liquid chromatography pressure profile readings captured from the chromatography instrument during an experiment run. No personal information is involved.
Processing
Anomaly Detection
- Detects deviations in the pressure profile that indicate problems with a liquid chromatography experiment, functioning as a digital shadow of the physical system.
What it does
Deciding (Analytical AI)
Human decides
- Analyses liquid chromatography pressure profile data to predict or classify experiment problems and issue warnings. A researcher decides how to respond to the warning.
Outputs
A recommendation or prediction
Anonymized data
- Warnings about detected experiment problems issued to researchers. The output is advisory — the researcher decides whether and how to intervene.
Run by
National Research Council Canada (NRC)
- Federal government department responsible for developing and deploying the QuaLC system, in collaboration with the University of Ottawa.
Built by
Not stated by the Helpful Places.
Kept for
Not stated by the Helpful Places.
Shared with
Not available to me
- The system does not disclose AI use to users. Members of the public and employees interacting with the system are not informed that AI is in operation.
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 — QuaLC (2526-NRC-CNRC-010)National Research Council Canada, AI Register ID 2526-NRC-CNRC-010.
- AI registerGovernment of Canada AI Register — QuaLC
- AI registerGovernment of Canada AI Register — QuaLC
- AI registerGovernment of Canada AI Register — QuaLC
- AI registerGovernment of Canada AI Register — QuaLC
- AI registerGovernment of Canada AI Register — QuaLC
- AI registerGovernment of Canada AI Register — QuaLC
- AI registerGovernment of Canada AI Register — QuaLC
- AI registerGovernment of Canada AI Register — QuaLC
- AI registerGovernment of Canada AI Register — QuaLC
- Register entryPublished by the Helpful Places. Reference 5d1abd1c. 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 register indicates that AI use is not currently disclosed to users of this system. As a prototype in development, formal notice mechanisms have not yet been established. Users should be aware that AI analysis is being applied to experimental data.
Risks and safeguards
- Reputational harmFalse warnings or missed anomalies could mislead researchers, potentially causing experiment failures or wasted resources.Safeguard: The system is advisory only — researchers retain decision authority. The prototype stage allows for validation and calibration before full deployment. Publication is planned to allow peer scrutiny.