As worries grow regarding instances of AI agents behaving unpredictably, experts and stakeholders are increasingly advocating for governmental regulation of advancing AI systems. However, some experts highlight the challenges in achieving global cooperation and regulating AI due to its rapid evolution.
While individuals like U.S. President Donald Trump express confidence in tech giants’ ability to self-regulate, industry leaders such as Microsoft co-founder Bill Gates and Canadian-British AI pioneer Geoffrey Hinton argue that AI necessitates safeguards beyond self-regulation. Jaxson Khan, an AI policy expert at the University of Toronto, emphasizes the need for government oversight in AI, similar to other regulated industries like food and aviation.
The rapid advancement of AI models poses a significant hurdle to regulation, with models enhancing their capabilities every four months, as reported by Anthropic. These models may even possess the ability to self-improve recursively, creating successors autonomously. This quick pace of change makes it challenging for governments to keep up, as noted by Manon Paquet from McGill’s Centre for Media, Technology, and Democracy.
Calls for global oversight of AI have been made by experts like Prime Minister Mark Carney, advocating for a non-industry body to manage and mitigate AI risks on an international scale. The establishment of an international body for AI governance, suggested by around 400 scientists, aims to oversee containment standards and incident reporting for advanced AI systems globally.
In Canada, there is currently no comprehensive federal regulation for AI. However, proposed legislation like Bill C-34, the Safe Social Media Act, sets criteria for AI chatbots to reduce the risk of generating harmful content. The Liberal government has also announced the formation of a national council on artificial intelligence to guide AI strategy and enhance its safety measures.
While challenges exist in implementing effective federal AI legislation due to the global presence of major AI companies, there are possibilities for Canada to enforce incident reporting requirements and hold companies accountable for AI-related issues affecting Canadians. Establishing policies for incident reporting and accountability could be a crucial step towards educating citizens and showcasing leadership in AI governance.
