In light of growing concerns about instances of AI systems acting independently, there is a call from experts and stakeholders for government oversight of increasingly advanced AI technology. However, challenges arise due to the global nature of AI development and the fast pace at which it evolves.
While some, such as U.S. President Donald Trump, believe that tech companies can self-regulate effectively, others like Microsoft co-founder Bill Gates and AI pioneer Geoffrey Hinton argue that AI requires external safeguards beyond self-regulation. Jaxson Khan, an AI policy expert at the University of Toronto, points out that most industries, including food and aviation, are subject to government regulations, indicating the need for similar oversight in the AI sector.
The rapid advancement of AI models poses a significant hurdle to regulation, with reports showing that AI capabilities double approximately every four months. The ability of some AI models to self-improve recursively further complicates the regulatory landscape. Manon Paquet from McGill’s Centre for Media, Technology, and Democracy emphasizes the challenge governments face in regulating a technology that evolves faster than regulations can be formulated.
Calls for global oversight of AI have been voiced by experts like Prime Minister Mark Carney and AI pioneers Yoshua Bengio and Geoffrey Hinton, who advocate for an international body to monitor and mitigate AI risks globally. Establishing standards and incident reporting mechanisms for advanced AI systems is seen as crucial in ensuring the safe and responsible development of AI technology.
In Canada, while there is currently no comprehensive federal regulation of AI, proposed legislation like Bill C-34 aims to set criteria for AI chatbots to minimize the risk of generating harmful content. Initiatives such as the national council on artificial intelligence seek to guide the government’s AI strategy and enhance the safety of AI applications in the country.
Despite the challenges posed by the global nature of AI development, experts suggest that governments can still play a role in holding AI companies accountable through incident reporting requirements and potential restrictions on harmful AI platforms. Building a framework for transparency and accountability in AI development is seen as a crucial step towards ensuring the responsible use of AI technology.
