<p dir="ltr" style="text-align: justify;">The global competition in artificial intelligence (AI) has become one of the defining features of the 21st century, with significant implications for economic, political, and military power. This race is predominantly between two major regions: the West, led by the United States and Europe, and the East, dominated by China. Each side brings its unique strengths, strategies, and challenges to the table, shaping the future of AI in profound ways.</p> <p dir="ltr" style="text-align: justify;"> </p> <p dir="ltr" style="text-align: justify;"><b>The West's Approach to AI</b></p> <p dir="ltr" style="text-align: justify;">The Western approach to AI is largely driven by innovation and entrepreneurship, with the United States being the most significant player. Silicon Valley, the hub of global technology, is home to some of the most influential companies in the world, including Google, Apple, Microsoft, and OpenAI. These companies invest heavily in AI research and development, leading to significant breakthroughs in machine learning, natural language processing, and autonomous systems.</p> <p dir="ltr" style="text-align: justify;">The U.S. government, has recently increased its focus on AI. The National AI Initiative, launched in 2020, aims to ensure that the U.S. remains a global leader in AI. This initiative promotes AI research, strengthens the AI workforce, and ensures that the technology is used ethically and responsibly.</p> <p dir="ltr" style="text-align: justify;">Europe, on the other hand, has emphasized the ethical and regulatory aspects of AI development. The European Union has introduced stringent regulations to ensure that AI is developed and used in ways that respect human rights and privacy. The EU's General Data Protection Regulation (GDPR) is a prime example of how Europe seeks to balance innovation with the protection of individual rights. Additionally, the EU has invested in AI research and development through programs like Horizon Europe, aiming to foster innovation across the continent.</p> <p dir="ltr" style="text-align: justify;"> </p> <p dir="ltr" style="text-align: justify;"><b>The East's Approach to AI</b></p> <p dir="ltr" style="text-align: justify;">In the East, China stands out as the most formidable competitor in the AI race. The Chinese government's approach to AI is characterized by strong state support, extensive data access, and an emphasis on integration into society. China’s State Council laid out an ambitious plan in 2017 to become the world leader in AI by 2030. This plan involves significant investment in AI research, education, and infrastructure.</p> <p dir="ltr" style="text-align: justify;">China’s advantage in the AI race partly stems from its vast population and the sheer amount of data that can be gathered and analyzed. In AI development, access to large datasets is crucial, and China's population provides an enormous source of data for training AI systems. Moreover, the Chinese government’s approach to data privacy is less restrictive compared to the West, allowing for more extensive data collection and usage.</p> <p dir="ltr" style="text-align: justify;">Chinese tech giants like Baidu, Alibaba, and Tencent are at the forefront of AI innovation, supported by government policies that encourage rapid development and integration of AI into various sectors, including healthcare, finance, etc... The government’s role in fostering AI development is more direct and interventionist than in the West, enabling faster implementation of AI technologies on a large scale.</p> <p dir="ltr" style="text-align: justify;"> </p> <p dir="ltr" style="text-align: justify;"><b>Key Differences and Challenges</b></p> <p dir="ltr" style="text-align: justify;">The AI race between the East and West is not just about who can develop the most advanced technology, but also about who can set the global standards for AI governance.</p> <p dir="ltr" style="text-align: justify;">This divergence creates a significant challenge: the potential for a "bifurcation" of AI standards. If the East and West cannot agree on common standards, we may see a world where AI systems in different regions are incompatible or where there are significant differences in how AI is used and regulated. This could lead to increased geopolitical tensions and challenges in global collaboration.</p> <p dir="ltr" style="text-align: justify;">Moreover, the ethical concerns associated with AI, such as bias in algorithms, the impact on employment, and the use of AI in surveillance and military applications, are becoming more pressing. Both the East and West need to address these issues, but their approaches are likely to differ based on their cultural, political, and economic contexts.</p> <p dir="ltr" style="text-align: justify;"> </p> <p dir="ltr" style="text-align: justify;"><b>The Future of the AI Race</b></p> <p dir="ltr" style="text-align: justify;">The AI race between East and West is likely to intensify in the coming years. Both regions are aware that leadership in AI will determine not only economic success but also global influence.</p> <p dir="ltr" style="text-align: justify;">However, there is also potential for collaboration. Issues like AI ethics, global governance, and the impact of AI on jobs and society are challenges that require global solutions. Collaborative efforts between East and West could help address these challenges, even as competition remains fierce.</p> <p dir="ltr" style="text-align: justify;">Ultimately, the outcome of this race will shape the future of AI and its role in the world. Whether through competition or collaboration, the East and West will both play crucial roles in determining how AI transforms our societies, economies, and political landscapes.</p> <p dir="ltr"> Mehdi Salami, expert of the IPIS</p> <p dir="ltr"><i><b>(The opinions expressed are those of the authors and do not purport to reflect the opinions or views of the IPIS)</b></i></p> <p dir="ltr" style="text-align: justify;"> </p>