The research highlights the concept of 'policy convergence' as a significant pathway for fostering cooperation between the United States and China in the realm of artificial intelligence (AI). Unlike the prevalent narrative that emphasizes competition and divergence between these two superpowers, the study suggests that common ground can be found, particularly at local levels, where collaboration on global governance, safety, and security in AI could be beneficial. The research was conducted by a group from esteemed universities, indicating a shared interest across borders in addressing AI challenges.

The authors argue that while the geopolitical landscape is often characterized by rivalry, recognizing instances of convergence can create openings for negotiation and cooperative frameworks that enhance safety measures and ethical governance in AI applications. This approach challenges the conventional views held by many analysts, which often overlook the potential benefits of coordination amidst the competitive dynamics of US-China relations. The mention of specific areas of collaboration, such as governance and safety management, underscores the complexities and potential of international relations in technology.

Through their analysis published in the Journal of Comparative Policy Analysis, the researchers assert that by focusing on policy convergence, there is an opportunity to move beyond adversarial interactions and work towards shared objectives. This could ultimately yield a more stable and collaborative environment for AI development, leading to advancements that address not only the interests of both nations but also the global community's concerns regarding AI safety and governance.