Canada's AIDA: The Artificial Intelligence and Data Act Explained

Canada is advancing significant AI legislation through the Artificial Intelligence and Data Act (AIDA), part of Bill C-27. This proposed law would establish one of the world’s first comprehensive AI regulatory frameworks, with a focus on high-impact AI systems.

What is AIDA?

The Artificial Intelligence and Data Act (AIDA) is Part 3 of Canada’s Bill C-27, the Digital Charter Implementation Act. AIDA would:

Regulate AI systems across Canada
Establish requirements for high-impact AI systems
Create new criminal offenses for harmful AI
Empower a new AI and Data Commissioner

Key Definitions

Understanding AIDA requires familiarity with its core concepts:

Artificial Intelligence System

AIDA defines an AI system as a technological system that:

Processes data related to human activities
Uses machine learning, logic, or other techniques
Makes inferences, predictions, recommendations, or decisions
Is designed to operate autonomously

High-Impact AI System

The most significant requirements apply to “high-impact” systems, which will be defined by regulation but likely include AI used in:

Employment decisions (hiring, termination, work allocation)
Access to services (financial, healthcare, government)
Biometric identification
Content moderation at scale
Critical infrastructure operation
Justice system applications

Core Requirements

For All AI Systems

Organizations using AI systems must:

Assess potential harm: Evaluate risks before deployment
Monitor performance: Ongoing assessment of system behavior
Maintain records: Documentation of AI system characteristics
Respond to issues: Address identified problems promptly

For High-Impact Systems

Additional requirements for high-impact AI include:

Risk Assessment

Conduct comprehensive impact assessments
Identify and mitigate potential harms
Document assessment methodology and findings
Review assessments regularly

Mitigation Measures

Implement appropriate safeguards
Establish human oversight mechanisms
Create monitoring and intervention capabilities
Develop incident response procedures

Transparency

Publish plain-language descriptions
Explain system capabilities and limitations
Describe how decisions are made
Disclose use of personal information

Record-Keeping

Maintain detailed technical documentation
Record training data characteristics
Document testing and evaluation results
Keep audit trails of system decisions

Governance Structure

AIDA establishes a new regulatory framework:

AI and Data Commissioner

A new Commissioner would:

Oversee AIDA compliance
Issue guidance and interpretations
Conduct investigations
Recommend enforcement actions

Minister’s Powers

The responsible Minister can:

Define high-impact systems by regulation
Establish specific requirements
Approve codes of practice
Issue compliance orders

Coordination

AIDA requires coordination with:

Privacy Commissioner (personal data issues)
Sector regulators (industry-specific concerns)
International counterparts (cross-border matters)

Penalties and Enforcement

AIDA includes significant penalties:

Administrative Penalties

Violation Type	Maximum Penalty
Minor violations	$10 million or 3% of global revenue
Serious violations	$25 million or 5% of global revenue

Criminal Offenses

AIDA creates criminal liability for:

Harmful AI Deployment

Deploying AI that causes serious harm
Knowledge or recklessness about harm potential
Maximum: Criminal code penalties

Fraud in AI Reporting

Providing false information to regulators
Destroying required records
Maximum: Significant fines and imprisonment

Comparison with Other Frameworks

Aspect	Canada AIDA	EU AI Act	US EO
Scope	High-impact systems	Risk-tiered	Dual-use models
Approach	Principles + regulations	Comprehensive rules	Agency-directed
Penalties	Up to 5% revenue	Up to 7% revenue	Varies by agency
Status	Proposed legislation	Enacted	In effect
Enforcement	New Commissioner	AI Office	Existing agencies

Implementation Timeline

If passed, AIDA would follow a phased approach:

Phase	Timeline	Requirements
Royal Assent	Upon passage	Law takes effect
Regulations	6-12 months	High-impact definitions
Compliance	12-24 months	Full requirements
Enforcement	18-24 months	Penalties applicable

Preparing for AIDA

Organizations should begin preparing now:

Immediate Steps

Inventory AI systems: Document all AI in use
Preliminary classification: Identify potentially high-impact systems
Gap assessment: Compare current practices to likely requirements
Governance review: Evaluate existing oversight structures

Building Compliance Infrastructure

Risk assessment processes: Develop methodologies for AI impact assessment
Documentation systems: Create record-keeping capabilities
Monitoring capabilities: Implement performance tracking
Transparency mechanisms: Prepare for disclosure requirements

Organizational Readiness

Governance structures: Establish AI oversight committees
Roles and responsibilities: Assign AI accountability
Training programs: Educate staff on requirements
Incident response: Develop procedures for AI issues

Voluntary Codes

AIDA allows for industry codes of practice:

Developed by industry associations
Approved by the Minister
Provide compliance pathways
Create regulatory predictability

Organizations may want to participate in code development within their sectors.

Quebec’s Law 25

Note that Quebec has separate privacy legislation (Law 25) with AI provisions:

Automated decision-making transparency
Right to explanation
Human review requirements
Effective September 2023

Organizations in Quebec must comply with both frameworks.

How Metrica.uno Supports AIDA Compliance

Metrica.uno helps Canadian organizations prepare for AIDA:

Assess AI systems against likely high-impact criteria
Conduct risk and impact assessments
Generate required documentation
Track evolving requirements
Align with related frameworks (EU AI Act, NIST)

Start your assessment to understand your AIDA readiness.