QGI Compliance Matrix

Montréal Declaration Alignment.
QGI operationalizes the Montréal Declaration by transforming ethical principles into measurable, enforceable system behavior.

AI governance defined

In 2026, AI governance is no longer optional. With the full implementation of Quebec’s Law 25 and the federal Artificial Intelligence and Data Act (AIDA), organizations must move from passive principles to active, deterministic enforcement.

QGI translates the principles of the Montréal Declaration into measurable, executable controls. Each principle is enforced through a corresponding invariant with defined evaluation metrics and thresholds.

The Montreal Declaration Matrix

The Montreal Declaration for a Responsible Development of Artificial Intelligence is a world-leading framework for ethical AI. QGI provides the technical "Logic Layer" required to turn these ten high-level principles into five computable constraints.

1. Safety (Well-being)

Ensures AI systems do not cause harm and contribute positively to human conditions. It is Measured by:

  • risk of harm (physical, financial, psychological)
  • severity and probability of negative outcomes

QGI Enforcement:

  • safety score (M_SI) must remain below threshold (τ_SI)
  • critical violations trigger automatic escalation
2. Autonomy (Respect for Individuals)

Ensures individuals retain control over decisions affecting them. It is Measured by:

  • presence of consent mechanisms
  • ability to opt-out or override decisions

QGI Enforcement:

  • autonomy score (M_AI) must remain within tolerance
  • mandatory human oversight (HO) for high-impact decisions
3. Boundary (Privacy & Data Integrity)

Defines and enforces limits between individuals and systems. Measured by:

  • use of sensitive or personal data
  • unauthorized data inference or leakage

QGI Enforcement:

  • boundary score (M_BI) detects violations in real time
  • prohibited data usage is blocked at Tier 4
4. Fairness (Equity & Inclusion)

Ensures decisions are unbiased and equitable across groups. Can be Measured by:

  • statistical bias indicators
  • outcome disparities across demographics

QGI Enforcement:

  • fairness score (M_FI) compared against threshold (τ_FI)
  • bias triggers audit logging and review
5. Transparency (Democratic Participation & Explainability)

Ensures decisions are understandable and verifiable. It is Measured by:

  • explainability of outputs
  • traceability of decision logic

QGI Enforcement:

  • transparency score (M_TI) must meet minimum standard
  • disclosure (DISC) required when applicable
6. Collective Stability (Social & Environmental Impact)

Ensures system-level impacts remain sustainable and beneficial. Measured by:

  • systemic risk
  • long-term societal impact
  • feedback loop stability

QGI Enforcement:

  • stability score (M_CSI) monitors system-wide effects
  • high-risk patterns trigger intervention
Summary Mapping

The QGI mapping to Montreal Declaration can be presented in the following table:

Principle QGI Invariant Enforced By
Well-being Safety Threshold (Invariant) + escalation
Autonomy Autonomy HO + Threshold (Invariant) + control
Privacy Boundary Data constraints
Equity Fairness Bias metrics
Transparency Transparency DISC + audit
Sustainability Collective Stability System monitoring

System Integrity Controls

In addition to the six invariants, QGI ensures ongoing system reliability through:

  • Drift Monitoring (τ_D): detects changes in model behavior
  • Validation Freshness (τ_R): ensures periodic revalidation
  • Human Oversight (HO): required for high-risk decisions
  • Disclosure (DISC): ensures user awareness and transparency

From Principles to Execution

Unlike traditional frameworks, QGI does not stop at ethical principles. It enforces them in real time through:

  • measurable thresholds
  • automated evaluation
  • deterministic decision control
  • complete audit traceability

This transforms the Montréal Declaration from a conceptual framework into a fully operational governance system.