Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems
This voluntary code of conduct sets out measures for organizations developing and managing advanced generative AI systems in Canada. It outlines commitments across accountability, safety, fairness and equity, transparency, human oversight, and validity and robustness. Signatories agree to implement risk management frameworks, conduct impact assessments, and support responsible AI ecosystem development.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Canadian organizations developing or managing advanced generative AI systems should read this to understand expected responsible AI practices.
What the document contains
The document addresses risk management, safety assessments, dataset curation, transparency measures like watermarking, human oversight, and robustness testing for developers and managers of advanced generative AI systems.
It does not create legally binding obligations or change existing legal requirements, and it relies entirely on voluntary commitments rather than regulatory enforcement mechanisms.
- Organizations committing to the code adopt specific measures across six core principles for advanced generative AI systems.
- Developers and managers must share relevant information and maintain complementary roles to address potential adverse impacts.
- Systems made widely available for public use are subject to additional transparency, testing, and watermarking requirements.
- The code emphasizes comprehensive risk management, cybersecurity assessments, and adversarial red-teaming prior to deployment.
· Accountability · Safety · Fairness and Equity · Transparency · Human Oversight and Monitoring · Validity and Robustness
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
Implement a comprehensive risk management framework proportionate to the nature and risk profile of activities.
Measures to be undertaken pursuant to the Code of Conduct
screening score · 2026-10-23
Fairness
4/5Non-discrimination and equitable treatment
Implement diverse testing methods and measures to assess and mitigate risk of biased output prior to release .
Measures to be undertaken pursuant to the Code of Conduct
screening score · 2026-10-23
Human Dignity
2/5Respect for the inherent worth of persons
including by prioritizing human rights, accessibility and environmental sustainability
Signatories also commit to develop and deploy AI systems in a manner that will drive inclusive and sustainable growth in Canada
screening score · 2026-10-23
Human Oversight
4/5Humans remain in control of consequential decisions
Monitor the operation of the system for harmful uses or impacts after it is made available , including through the use of third-party feedback channels
Measures to be undertaken pursuant to the Code of Conduct
screening score · 2026-10-23
Privacy
2/5Protection of personal data and private life
These systems may also have important implications for individual privacy rights, as highlighted in the G7 Data Protection and Privacy Authorities' Statement on Generative AI
Advanced AI systems capable of generating content
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
Publish information on capabilities and limitations of the system.
Measures to be undertaken pursuant to the Code of Conduct
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
Perform a comprehensive assessment of reasonably foreseeable potential adverse impacts , including risks associated with inappropriate or malicious use of the system.
Measures to be undertaken pursuant to the Code of Conduct
screening score · 2026-10-23