Concerns are rising about AI agents turning rogue, prompting experts and stakeholders to advocate for government oversight of increasingly advanced AI systems. However, some experts believe that achieving global cooperation and keeping up with the fast pace of AI development pose significant challenges.
While individuals like U.S. President Donald Trump express confidence in tech giants’ ability to self-regulate, other 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 and adoption expert at the University of Toronto’s Munk School of Global Affairs, points out that most industries, like food or aviation, are subject to government regulation, making it logical for AI to undergo similar oversight.
The rapid evolution and improvement of AI models present a major hurdle for regulation, with models doubling in capabilities approximately every four months, according to a recent Anthropic report. This rapid 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 have been made for a global, non-industry body to oversee and address the risks associated with AI technology internationally. This proposal includes establishing a registry of significant security incidents and promoting incident reporting for advanced AI systems. While reaching a consensus on AI governance among nations may be arduous, such a regulatory body could facilitate cooperation in strengthening systems and preventing AI misuse.
In Canada, there is currently no comprehensive federal regulation of AI. However, proposed legislation like Bill C-34, the Safe Social Media Act, sets criteria for AI chatbots to mitigate potential risks. Prime Minister Mark Carney has also introduced a national council on artificial intelligence to guide the government’s AI strategy and enhance safety measures.
Despite challenges in regulating multinational AI companies, there are suggestions for establishing policies that mandate incident reporting and holding companies accountable for harmful AI practices. This approach could enhance transparency, educate citizens, and demonstrate leadership in AI governance.