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AI-Assisted Anomaly Detection for Insolvency Filings

Enforcement · Risk Assessment & Triage

What it collects

Operational data
Anonymized data
  • Estate filing records submitted to the Office of the Superintendent of Bankruptcy, including insolvency data used to train and run the anomaly detection model. The register states that personal information is not involved.
Run by
Innovation, Science and Economic Development Canada (ISED)
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

EnforcementRisk Assessment & Triage

This system uses unsupervised machine learning to identify unusual patterns in estate filings submitted to the Office of the Superintendent of Bankruptcy. It helps government analysts prioritize files for manual review as part of risk-based oversight of the insolvency system. The system does not make automated decisions — a human analyst reviews every file it flags. It affects individuals and businesses who have filed for insolvency in Canada.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Estate filing records submitted to the Office of the Superintendent of Bankruptcy, including insolvency data used to train and run the anomaly detection model. The register states that personal information is not involved.

Processing

Anomaly Detection
  • Applies unsupervised machine learning to identify estate filings that depart from normal patterns, producing a ranked list of high-risk files for manual analyst review. No labeled training data is used; the model learns the baseline from historical filing data.

What it does

Deciding (Analytical AI)
Human decides
  • Uses unsupervised machine learning to score and flag anomalous insolvency filings. The system produces risk signals for analyst review; human analysts retain full decision-making authority over whether to act on any flagged file.

Outputs

A recommendation or prediction
Anonymized data
  • A prioritized list of insolvency files flagged as anomalous, presented to government analysts as advisory inputs. The output is a recommendation for further manual review, not a binding decision. The register confirms no personal information is involved in the output.

Run by

Innovation, Science and Economic Development Canada (ISED)
  • Federal department responsible for deploying and operating the Debtor Detection Anomaly System to support the Office of the Superintendent of Bankruptcy's compliance oversight activities.

Government of Canada AI Register — 2526-ISED-ISDE-012

Built by

Government of Canada
  • The system was developed internally by the Government of Canada, with no external vendor identified in the register entry.

Government of Canada AI Register — 2526-ISED-ISDE-012

Kept for

Not stated by the Helpful Places.

Shared with

Not available to me
  • Outputs are produced for internal use by Government of Canada employees (analysts at the Office of the Superintendent of Bankruptcy) and are not accessible to the individuals or businesses whose filings are analyzed.
Available to the accountable organization
  • Outputs are available to GC employees — specifically analysts within Innovation, Science and Economic Development Canada and the Office of the Superintendent of Bankruptcy — who use them to guide compliance review activities.

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.

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 use of AI in this system has been publicly disclosed by the Government of Canada through the Algorithmic Impact Assessment register. Individuals and businesses subject to insolvency oversight may learn about this system's use through the public register at open.canada.ca.
  • Right to a Human ReviewAll files identified as anomalous by the system are subject to mandatory human review by analysts before any compliance action is taken. The system does not replace human judgment in the insolvency oversight process.

Risks and safeguards

  • Reputational harmAnomaly flags could incorrectly target legitimate filers, leading to unwarranted compliance scrutiny and reputational damage for individuals or businesses.Safeguard: The system is explicitly not an automated decision-making tool; all flagged files are reviewed by human analysts before any action is taken, and the system complements rather than replaces existing review processes.
  • Civil liberties harmSystematic anomaly detection applied to insolvency filings could disproportionately flag certain populations or filing patterns, creating a chilling effect on legitimate use of insolvency protections.Safeguard: The system supplements — and does not replace — existing manual selection, random reviews, referrals, and public complaints; human oversight is mandatory before any enforcement action.