Montréal AI Ethics Bylaw Checklist
Montréal, Quebec requires municipal teams and vendors to follow an AI ethics checklist and bias-audit process when deploying automated decision systems used by the city. This article explains the policy scope, the typical audit items, who enforces compliance, and how to act if your project must meet Montréal’s municipal requirements[1]. It is written for city staff, contractors, legal teams, and residents seeking a practical compliance roadmap for algorithmic systems that affect municipal services in Montréal.
What the checklist covers
The municipal checklist typically requires documentation of system purpose, data sources, privacy impact assessments, bias identification and mitigation steps, human oversight, and transparent communication to affected residents. Projects should expect to document:
- Governance and purpose statement, including decision scope and authorized use.
- Data provenance and training data descriptions, with records of preprocessing and labeling.
- Bias risk assessment results and documented mitigation measures.
- Monitoring plans and scheduled re-evaluations or audits.
- Transparency materials for public notices and user appeal routes.
Penalties & Enforcement
Montréal’s ethical AI policy sets procedural requirements and oversight but does not specify criminal penalties on the policy page cited; financial fines or statutory penalties are not specified on the cited page. Enforcement is typically handled by the designated municipal office responsible for algorithmic governance and by-law compliance; appeals and reviews normally follow municipal administrative procedures and provincial access-to-information or administrative-justice routes. The guidance below summarizes typical enforcement elements and where the city assigns responsibilities.
- Fines and monetary penalties: not specified on the cited page.
- Escalation: first-compliance notices, required corrective plans, and repeat noncompliance measures are indicated in practice but specific ranges are not specified on the cited page.
- Non-monetary sanctions: orders to suspend use, removal of system from production, mandatory audits, and reporting requirements.
- Enforcer: the municipal department named in the policy (for example the city office responsible for algorithmic governance or the Secretariat/Legal Services) handles inspections, compliance notices, and referrals.
- Inspection and complaints: residents may file complaints via the city’s by-law or complaint portal; specific submission pages are provided by the city.
- Appeals and review: administrative appeal or judicial review routes apply; time limits are not specified on the cited page and should be confirmed with the enforcing office.
Applications & Forms
Where forms are required, the municipal policy refers to documentation and audit deliverables rather than a single standardized form; the policy page does not publish a named form or fee table. Contractors and departments should request the specific submission checklist from the municipal office named in the policy. If no form is required, the city will state the deliverables and format on its project intake or procurement pages.
Practical compliance steps
- Inventory systems that make automated or algorithmic decisions and map affected services and stakeholders.
- Run a documented bias audit covering training data, model behavior across protected groups, and mitigation testing.
- Schedule periodic re-audits and include monitoring metrics in procurement and vendor contracts.
- File any required documentation with the municipal office and keep a record of submissions and responses.
FAQ
- Does Montréal require bias audits for all AI used by the city?
- Yes for systems that make or materially inform municipal decisions affecting residents; the policy directs audits and documentation for such systems.
- Are there standard templates for the checklist?
- The municipal policy outlines required items but may not publish a single universal form; departments often supply specific templates on intake.[1]
- Who can I contact to report noncompliance?
- Contact the municipal office responsible for algorithmic governance or the city’s by-law enforcement/complaint portal listed in resources below.
How-To
Follow these steps to prepare a bias audit and ethics checklist submission for a municipal project:
- Identify the system scope and compile governance documents and procurement contracts.
- Conduct a data inventory and perform bias testing across defined demographic slices.
- Implement mitigation measures and log changes; prepare a monitoring plan with metrics and thresholds.
- Submit the audit dossier to the municipal office and await any requests for clarification.
- Address any corrective actions mandated by the city and document completion for audit trails.
Key Takeaways
- Keep a complete, auditable dossier for each municipal algorithmic system.
- Bias audits and mitigation plans are core checklist items to satisfy municipal policy.
- Engage the municipal office early to confirm submission format and timelines.
Help and Support / Resources
- City of Montréal - official site
- City of Montréal - services and departments
- Commission d'accès à l'information du Québec