Summary of AI development code of conduct announced today at ALL IN by Industry Minister Champagne
- Introduction and Background:
- Advanced AI systems, like ChatGPT and DALL·E 2, have wide-reaching potential and capabilities.
- They can pose risks, including potential for misuse by malicious actors, impacts on democracy, and invasion of privacy.
- Generative AI systems used in specific contexts may have a narrower risk profile.
- Developers and managers of these AI systems play crucial roles and must collaborate to mitigate risks.
- Purpose of the Code:
- The code aims to offer guidance before the implementation of binding regulations under the Artificial Intelligence and Data Act.
- This code does not override any legal obligations, such as those under the Personal Information Protection and Electronic Documents Act.
- Desired Outcomes:
- Accountability: Ensure risk management and sharing of necessary information.
- Safety: Implement risk assessments and safety measures.
- Fairness and Equity: Address potential biases during the development and deployment phases.
- Transparency: Provide ample information to consumers and experts for informed decision-making.
- Human Oversight and Monitoring: Monitor the system after deployment and implement necessary updates.
- Validity and Robustness: Ensure system security and understand the system’s behavior across various tasks.
- Commitment to Canada’s AI Ecosystem:
- Contributing to the development of AI standards and best practices.
- Prioritize human rights, accessibility, and environmental sustainability.
- Harness AI to address global challenges.
- Table of Measures:
- Lists various principles, measures associated with them, and specifies who (Developers or Managers) needs to adopt them. For instance:
- Under “Accountability,” both Developers and Managers must implement a risk management framework, share best practices, but only Developers of public-use systems need to conduct third-party audits.
- Under “Safety,” both groups must perform risk assessments. However, only Developers need to implement safeguards against misuse and provide guidance on system usage.
- The pattern continues for principles of Fairness, Transparency, Human Oversight, and Robustness.
- Lists various principles, measures associated with them, and specifies who (Developers or Managers) needs to adopt them. For instance:
- This code of conduct emphasizes collaboration, transparency, and responsibility. The clear distinction between roles for Developers and Managers, as well as between systems for general and public use, helps firms understand their duties and responsibilities better.
