Generative AI and Privacy: What Canadian Regulators Expect from Developers and Organizations

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As generative AI tools rapidly gain traction across sectors, privacy regulators in Canada are stepping in with new guidance. Organizations developing, offering, or using these technologies must now account for a host of legal and ethical responsibilities under evolving federal and provincial privacy frameworks.

In a recent publication, McMillan LLP outlines what Canadian businesses need to consider when integrating generative AI into their operations. Here are some of the key takeaways:

🔍 Key Privacy Considerations for Generative AI in Canada:

  • Transparency is critical
    Users must be informed about when and how generative AI systems are being used—especially when decisions are made or influenced by AI-generated outputs.
  • Training data matters
    Collecting and processing data for model training must comply with Canadian privacy laws, including proper notice and, where applicable, consent.
  • Accountability must be proactive
    Organizations must establish governance frameworks for AI that include risk assessments, ongoing monitoring, and clear documentation of how AI is used.
  • Human oversight remains essential
    Decisions that impact individuals should not be left solely to AI. Human review and appeal mechanisms should be built into any system.

To dive deeper into the legal expectations and best practices laid out by Canadian privacy authorities, we recommend reading the full article by McMillan LLP:
👉 Read the full article here

For tailored advice on how your organization can responsibly develop or deploy generative AI tools in compliance with Canadian regulations, contact our Canadian experts, Kristen Pennington or Lyndsay Wasser from McMillan LLP directly or reach out to us at PrivacyRules, and we’ll gladly connect you with the right experts.