Today, the Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry, announced Canada's Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems, which is effective immediately. The code identifies measures that organizations are encouraged to apply to their operations when they are developing and managing general-purpose generative artificial intelligence (AI) systems. The Government of Canada has already taken significant steps toward ensuring that AI technology evolves responsibly and safely through the proposed Artificial Intelligence and Data Act (AIDA), which was introduced as part of Bill C-27 in June 2022. This code is a critical bridge between now and when that legislation would be coming into force.The code outlines measures that are aligned with six core principles:
This code is based on the input received from a cross-section of stakeholders, including the Government of Canada’s Advisory Council on Artificial Intelligence, through the consultation on the development of a Canadian code of practice for generative AI systems. The government will publish a summary of feedback received during the consultation in the coming days. The code will also help reinforce Canada’s contributions to ongoing international deliberations on proposals to address common risks encountered with large-scale deployment of generative AI, including at the G7 and among like-minded partners.
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- Accountability: Organizations will implement a clear risk management framework proportionate to the scale and impact of their activities.
- Safety: Organizations will perform impact assessments and take steps to mitigate risks to safety, including addressing malicious or inappropriate uses.
- Fairness and equity: Organizations will assess and test systems for biases throughout the lifecycle.
- Transparency: Organizations will publish information on systems and ensure that AI systems and AI-generated content can be identified.
- Human oversight and monitoring: Organizations will ensure that systems are monitored and that incidents are reported and acted on.
- Validity and robustness: Organizations will conduct testing to ensure that systems operate effectively and are appropriately secured against attacks.
This code is based on the input received from a cross-section of stakeholders, including the Government of Canada’s Advisory Council on Artificial Intelligence, through the consultation on the development of a Canadian code of practice for generative AI systems. The government will publish a summary of feedback received during the consultation in the coming days. The code will also help reinforce Canada’s contributions to ongoing international deliberations on proposals to address common risks encountered with large-scale deployment of generative AI, including at the G7 and among like-minded partners.
Read more...