The global AI regulation landscape is getting increasingly complex, with various countries and regions introducing their own set of rules. The European Union has taken the lead with its AI Act, which aims to establish a comprehensive regulatory framework for AI applications.¹ This act is expected to come into force in May 2025 and will cover nearly all AI applications, imposing horizontal obligations on all models.
In contrast, the United States has a more fragmented approach to AI regulation, with multiple federal agencies overseeing different aspects of AI. While there have been efforts to introduce more comprehensive regulation, partisan splits and concerns about stifling innovation have hindered progress.
China, on the other hand, has ambitious plans to become an AI leader by 2030, with massive government funding and a comprehensive national law expected to be issued later this year. However, its regulatory approach is focused on algorithms, driven by concerns over their role in disseminating information and maintaining political stability.
The debate around AI regulation is not just about geographical boundaries; it's also about the role of big tech companies. Some argue that these companies should be allowed to self-regulate, while others believe that governments need to step in to prevent monopolies and ensure accountability.
Ultimately, the global AI regulation landscape is a complex and evolving space, with different countries and regions taking different approaches. As AI continues to transform industries and societies, it's essential to find a balance between innovation and regulation.
