What's Happening?
CPA Canada has urged the Canadian government to establish a framework for independent assurance over artificial intelligence (AI) systems. This call to action was made through a letter from Melissa Robertson,
CPA Canada's principal of AI research and thought leadership, to Evan Solomon, the minister of artificial intelligence and digital innovation in Canada. The organization emphasizes the need for collaboration between industries and the government to foster AI adoption, particularly among small and medium enterprises (SMEs). CPA Canada highlights the importance of trust as a central pillar in the national AI strategy, advocating for a regulatory framework that goes beyond voluntary codes of conduct. The organization believes that transparent governance and consistent assurance are crucial for Canada to attract AI investment and scale innovation.
Why It's Important?
The push for a formal AI assurance framework is significant as it addresses the growing need for accountability and trust in AI systems. As AI technologies become more integrated into various sectors, ensuring their responsible use is critical. This initiative could position Canada as a leader in AI governance, potentially driving economic growth and productivity. By fostering a competitive AI ecosystem, Canada could enhance its global standing in technology innovation. The focus on SMEs is particularly important, as these businesses often lack the resources to independently navigate AI adoption. A robust framework could provide them with the necessary tools and confidence to leverage AI, thereby boosting their competitiveness.
What's Next?
The Canadian government is expected to consider CPA Canada's recommendations as it revisits the legislative process for AI governance. The previous attempt to pass the Artificial Intelligence and Data Act as part of Bill C-27 did not succeed, but the existing Personal Information Protection and Electronic Documents Act provides a foundation for data use regulation. Moving forward, the government may need to engage with industry stakeholders to develop a comprehensive regulatory framework that includes measurable oversight and accountability. This could involve revisiting the voluntary code of conduct for generative AI use and potentially introducing new legislation to ensure AI systems are used responsibly.
