Canadian AI Governance Framework

Simple guardrails to run AI safely, protect your data, and control risk without slowing down your business.

Privacy Considerations

What this means:

AI needs clear boundaries around what it can see and remember.

Why this matters:

Without limits, sensitive data can leak or be reused in ways you didn't expect.

What to do:

  • •Know exactly what data your AI sees
  • •Remove sensitive info automatically
  • •Decide how long data should exist
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Responsible AI

What this means:

You need clear rules for how the AI behaves and when humans take over.

Why this matters:

This protects your brand, prevents costly mistakes, and keeps you in control.

What to do:

  • •Set clear limits on what the AI can do
  • •Decide when a human must step in
  • •Make AI decisions easy to track
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Organizational Risk

What this means:

Plan for when things go wrong and know who is responsible.

Why this matters:

Prevents panic during outages and keeps leadership aligned on AI safety.

What to do:

  • •Create fallbacks if the AI fails
  • •Assign clear owners for AI tools
  • •Track how the AI is performing
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