Search

Begin New Search Topic Artificial Intelligence Political Geography China

1. Impacts of the Artificial Intelligence on International Relations: Towards a Global Algorithms Governance

Author:
Vicente Garrido Rebolledo
Publication Date:
01-2025
Content Type:
Journal Article
Journal:
Revista UNISCI/UNISCI Journal
Institution:
Unidad de investigación sobre seguridad y cooperación (UNISCI)
Abstract:
This article examines the transformative impact of artificial intelligence (AI) on international relations (IR) and global governance. It begins by presenting a conceptual framework that situates AI within the theoretical and practical dimensions of IR, and explores how AI influences global power dynamics, alters state behaviour, and reshapes institutional frameworks. The study highlights the ethical and regulatory challenges of AI governance, focusing first on the efforts of the United Nations (UN), the Council of Europe and the European Union (EU). Later, the article discusses the "AI technology race" between the United States and China and their regulations. Finally, the article highlights the need for ethical and responsible AI development to foster global cooperation and address the challenges and opportunities that this technology presents in contemporary international relations.
Topic:
International Relations, Science and Technology, United Nations, Governance, European Union, Regulation, Ethics, Artificial Intelligence, and Council of Europe
Political Geography:
China, Asia, North America, and United States of America

2. A vision from China on Artificial Intelligence. Implications for Soft Power in Global Cultural Exchange

Author:
Sonia Valle, Yi Wang, and Deng Lian
Publication Date:
01-2025
Content Type:
Journal Article
Journal:
Revista UNISCI/UNISCI Journal
Institution:
Unidad de investigación sobre seguridad y cooperación (UNISCI)
Abstract:
This article examines China's vision of AI, its efforts to use it as a tool to promote its soft power, and the implications this has for digital diplomacy and global cultural exchange. As key findings, we highlight that through AI-powered platforms and digital diplomacy, China can adjust global narratives on sensitive issues such as human rights, economic development, and its role in global trade. China's AI expansion on the world stage serves not only as a tool for economic growth, but also as a strategic tool for enhancing its soft power. By offering technological solutions to global challenges and fostering meaningful partnerships, China is enhancing its global image as a responsible, innovative and forwardlooking actor in the international community.
Topic:
Foreign Exchange, Global South, Soft Power, Belt and Road Initiative (BRI), Artificial Intelligence, and Digital Diplomacy
Political Geography:
China and Asia

3. Averting AI Armageddon: U.S.-China-Russia Rivalry at the Nexus of Nuclear Weapons and Artificial Intelligence

Author:
Jacob Stokes, Colin H. Kahl, Andrea Kendall-Taylor, and Nicholas Lokker
Publication Date:
02-2025
Content Type:
Special Report
Institution:
Center for a New American Security (CNAS)
Abstract:
In recent years, the previous bipolar nuclear order led by the United States and Russia has given way to a more volatile tripolar one, as China has quantitatively and qualitatively built up its nuclear arsenal. At the same time, there have been significant breakthroughs in the field of artificial intelligence (AI) technologies, including for military applications. As a result of these two trends, understanding the AI-nuclear nexus in the context of U.S.-China-Russia geopolitical competition is increasingly urgent. There are various military use cases for AI, including classification models, analytic and predictive models, generative AI, and autonomy. Given that variety, it is necessary to examine the AI-nuclear nexus across three broad categories: nuclear command, control, and communications; structural elements of the nuclear balance; and entanglement of AI-enabled conventional systems with nuclear risks. While each of these categories has the potential to generate risk, this report argues that the degree of risk posed by a particular case depends on three major factors: the role of humans, the degree to which AI systems become a single point of failure, and the AI offense-defense balance. As Russia and China increasingly aim to modernize their nuclear arsenals and integrate AI into their militaries, it is essential for policymakers to be aware of the risks posed by the AI-nuclear nexus. Dealing with China and Russia on issues at this nexus is likely to be difficult in the current diplomatic and military context, characterized by increasingly strained bilateral relationships between the United States and both China and Russia, along with an uptick in coordination between Beijing and Moscow. Nonetheless, there are still various steps that U.S. policymakers could take to bolster deterrence and stability with respect to these issues. These include: building knowledge and competency around issues at the AI-nuclear nexus; integrating AI into diplomatic initiatives related to nuclear and other strategic risks, and vice versa; establishing and promoting norms for the safe use of AI in relation to nuclear arsenals and other strategic capabilities; developing policy and technical criteria for assessing exactly how and when to keep humans in the loop on all nuclear-related processes; including AI technologies as a factor in oversight and reviews of the U.S. nuclear arsenal; investing in AI-enabled cyber and space capabilities to enhance defense and resilience, reduce incentives to attack those areas, and mitigate entanglement risks; consulting closely with U.S. allies about how AI will shape extended deterrence calculations related to both nuclear and conventional capabilities; and pursuing a comprehensive set of risk reduction and crisis management mechanisms with China and Russia while recognizing the obstacles to progress. Failing to take these steps could leave the country and the world dangerously exposed to risks and ill-prepared to seize any opportunities arising from the increasingly salient AI-nuclear nexus.
Topic:
Defense Policy, Nuclear Weapons, Cybersecurity, Artificial Intelligence, and Rivalry
Political Geography:
Russia, China, Asia, North America, and United States of America

4. Countering the Digital Silk Road: Brazil

Author:
Ruby Scanlon and Bill Drexel
Publication Date:
04-2025
Content Type:
Special Report
Institution:
Center for a New American Security (CNAS)
Abstract:
This year marks the 10th anniversary of the Digital Silk Road (DSR), China’s ambitious initiative to shape critical digital infrastructure around the world to advance its geopolitical interests and technology leadership. A decade after its launch, digital infrastructure and emerging technologies have only grown more vital and contested as demand for connectivity, digital services, and emerging technologies like artificial intelligence (AI) expand. Against this backdrop, the DSR has become increasingly central to China’s broader strategy to challenge and ultimately supplant the U.S.-led digital order, and in doing so, reap potentially vast security, economic, and intelligence advantages. To assess the DSR’s impact 10 years after its inception—and explore how the United States and its allies can offer a more compelling and coherent alternative—the CNAS Technology and National Security team has undertaken a major research project that produces in-depth case studies of four diverse and geostrategically critical nations—Indonesia, Brazil, Kenya, and Saudi Arabia—and culminates in a full-length report. The second case study focuses on Brazil. For the study, researchers from the CNAS Technology and National Security team spent a week in the country interviewing local policymakers, journalists, technology firms, civil society, and academics, along with U.S. diplomats, development experts, and companies. Drawing on these interviews and desk research, this case study seeks to shed light on the current dynamics and stakes of the U.S.-China competition to shape Brazil’s digital ecosystem.
Topic:
National Security, Geopolitics, Artificial Intelligence, and Digital Silk Road (DSR)
Political Geography:
China, Asia, Brazil, and South America

5. Radical novelties in critical technologies and spillovers: how do China, the US and the EU fare?

Author:
Alicia Garcia-Herrero, Michal Krystyanczuk, and Robin Schindowski
Publication Date:
05-2025
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
Critical technologies including artificial intelligence, semiconductors and quantum computing are attracting attention because of their indispensable nature and their role in national security strategies. We compare China, the United States and the European Union in these technologies and their subfields. We use large language models (LLMs) to identify which patents in these technologies can be considered most groundbreaking (not patented before) and worth replicating. These are ‘radical novelties.’ We find that the US clearly dominates quantum. Chinese and EU progress is similar. The US does slightly better than China in AI with clear dominance in generative AI, but China stands out in some important subfields, such as aerial vehicle technology. China dominates in a larger number of semiconductor fields but not in the highest value added, which is related to design. In a second step we assess how quickly radical novelties in these three technologies are transferred from one economic area to another and within each economic area. We find that the fastest transmission overall is for AI. The EU is by far the slowest in replicating radical novelties from the US and China, while the US and China tend to replicate European novel patents relatively quickly. Radical novelties are also replicated quickly between China and the US which is surprising given US controls on exports of critical technologies to China. Our findings are concerning for Europe because it does not produce enough critical patents in these technologies and because it is slower in replicating patents from the US and China.
Topic:
Science and Technology, Economy, Trade, and Artificial Intelligence
Political Geography:
China, Asia, and United States of America

6. Which companies are ahead in frontier innovation on critical technologies? Comparing China, the European Union and the United States

Author:
Alicia Garcia-Herrero, Michal Krystyanczuk, and Robin Schindowski
Publication Date:
05-2025
Content Type:
Working Paper
Institution:
Bruegel
Abstract:
Competition in critical technologies is attracting increasing attention not only because of the foundational nature of these technologies for other types of innovation, but also because of their role in the United States national security strategy. In this paper, we look into which entities in China, the European Union and the US innovate at the technology frontier in the three most important critical technologies – artificial intelligence, quantum computing and semiconductors – based on identification of the most radical novel patents in these technologies and their subsectors. Working with these pathbreaking patents, we look into the origin of the companies that file the largest numbers of them. US innovators dominate the innovation frontier for quantum computing and, to a lesser extent, AI, with Chinese innovators doing better in semiconductors. European innovators lag in all, but perform relatively better in quantum computing, in which they rank similarly to Chinese innovators. Furthermore, the innovation ecosystem is quite different across geographies. In the US, tech companies top the rankings of critical novelties and are highly concentrated: as many as three companies are in the top rankings of all of the three critical technologies. Frontier innovators in the field in which the EU competes most equally – quantum – are mostly research centres and not companies. China lies somewhat in between in all three domains.
Topic:
Science and Technology, European Union, Innovation, Artificial Intelligence, Semiconductors, and Quantum Computing
Political Geography:
China, Europe, Asia, and United States of America

7. Tracing the Roots of China’s AI Regulations

Author:
Matt Sheehan
Publication Date:
02-2024
Content Type:
Working Paper
Institution:
Carnegie Endowment for International Peace
Abstract:
In 2021 and 2022, China became the first country to implement detailed, binding regulations on some of the most common applications of artificial intelligence (AI). These rules formed the foundation of China’s emerging AI governance regime, an evolving policy architecture that will affect everything from frontier AI research to the functioning of the world’s second-largest economy, from large language models in Africa to autonomous vehicles in Europe. U.S. political leaders often warn against letting China “write the rules of the road” in AI governance. But if the United States is serious about competing for global leadership in AI governance, then it needs to actually understand what it is competing against. That requires examining the nuts and bolts of both China’s AI regulations and the policy process that shaped them. This paper is the second in a series breaking down China’s AI regulations and pulling back the curtain on the policymaking process shaping them. The Chinese Communist Party (CCP) and the Chinese government started that process with the 2021 rules on recommendation algorithms, an omnipresent use of the technology that is often overlooked in international AI governance discourse. Those rules imposed new obligations on companies to intervene in content recommendations, granted new rights to users being recommended content, and offered protections to gig workers subject to algorithmic scheduling. The Chinese party-state quickly followed up with a new regulation on “deep synthesis,” the use of AI to generate synthetic media such as deepfakes. Those rules required AI providers to watermark AI-generated content and ensure that content does not violate people’s “likeness rights” or harm the “nation’s image.” Together, these two regulations also created and amended China’s algorithm registry, a regulatory tool that would evolve into a cornerstone of the country’s AI governance regime. Contrary to popular conception in the rest of the world, China’s AI governance regime has not been created by top-down edicts from CCP leadership. President Xi Jinping and other top CCP leaders will sometimes give high-level guidance on policy priorities, but they have not been the key players when it comes to shaping China’s AI regulations. Instead, those regulations have been the product of a dynamic and iterative policymaking process driven by a mix of actors from both inside and outside the Chinese party-state. Those actors include mid-level bureaucrats, academics, technologists, journalists, and policy researchers at platform tech companies. Through a mix of public advocacy, intellectual debate, technical workshopping, and bureaucratic wrangling, these actors laid the foundations for China’s present and future AI regulations. This paper traces the progression of these regulations through the “policy funnel” (see figure 1) of Chinese AI governance. For both recommendation algorithms and deep synthesis rules, the initial spark for the regulation came from long-standing CCP concerns about the creation and dissemination of online content. For the former, the rise of the algorithmically driven news app Toutiao threatened the CCP’s ability to set a unified narrative and choose which stories are pushed to readers. In the case of deep synthesis, online face swap videos grabbed the attention of the Chinese public and led government regulators to consider the threat of deepfakes. Over the course of 2017–2020, these concerns made their way through China’s bureaucracy. Regulators took a series of stopgap measures in specific applications, while also tasking policy analysts and government-adjacent technical organizations with exploring different regulatory interventions.
Topic:
Science and Technology, Governance, Regulation, and Artificial Intelligence
Political Geography:
China, East Asia, and Asia

8. The risk of artificial intelligence: China edition

Author:
Filip Jirouš
Publication Date:
04-2024
Content Type:
Special Report
Institution:
Center for the Opening and Development of Latin America (CADAL)
Abstract:
We should be worried about China’s AI capacities, not only because it enhances the powers of the Party-state, but also because it is exporting its population control technology and policy abroad.
Topic:
Science and Technology, Governance, Authoritarianism, Surveillance, Artificial Intelligence, Social Control, and Threat Assessment
Political Geography:
China and Asia

9. Competing Values Will Shape US-China AI Race

Author:
Valerie Shen and Jim Kessler
Publication Date:
07-2024
Content Type:
Working Paper
Institution:
Third Way
Abstract:
President Biden’s AI executive order reflects a set of values recognizable to all Americans: Privacy, equal treatment and civil rights; free speech and expression; the rule of law; opportunity and free market capitalism; pluralism; and advancement of global leadership as the beacon of a free world. President Xi Jinping’s government has also issued AI regulations with values recognizable to China: Collectivism and obedience to authority; social harmony and homogeneity; market authoritarianism and rule of state; and digital world hegemony to restore China’s rightful place as the Middle Kingdom. The United States and China may share similar broad goals for “winning” AI along the lines of leading innovation and advancement, spurring broad-based economic growth and prosperity, achieving domestic social stability, and becoming the clear global influencer for the rest of the world—but they define those goals and seek to achieve those ends through very different values. Those values embedded in our respective AI policies and underlying technology carry high-stakes, long-term national and economic security implications as US and Chinese companies compete directly to become dominant in emerging global markets. They also share similar fears that reflect each country’s values. China worries that AI could cause social unrest if information to a sheltered population is too real and unfiltered. America fears that AI could cause social unrest if information Americans receive is too fake. And that massive disinformation and algorithms that rile the population could threaten our democratic system. Why do these value differences matter when it comes to the AI race? Below, we outline six contrasting values that we believe will be the most determinative in how the US-China AI competition plays out. We argue that understanding our different values-based approaches illuminates our respective advantages and disadvantages in this competition. It assesses who is currently set up to “win” across key metrics and determines how to lean into our democratic advantages or mitigate some practical disadvantages compared with the PRC, this will ultimately win the AI marathon.
Topic:
Science and Technology, Artificial Intelligence, and Strategic Competition
Political Geography:
China, Asia, North America, and United States of America

10. China’s approach to AI standardisation: State-guided but enterprise-led

Author:
Junhua Zhu
Publication Date:
08-2024
Content Type:
Policy Brief
Institution:
Finnish Institute of International Affairs (FIIA)
Abstract:
AI standardisation is a major battleground in the international AI race, in which states compete against each other for standard-setting power. China sees AI standardisation as a sector in which it could become a norm-maker rather than a norm-taker. The global landscape of AI standardisation is undergoing a phase of reconstruction. The US and China are discussing new bilateral standardisation frameworks, while the significance of pre-existing multilateral standardisation frameworks is declining. The Chinese approach to AI standardisation is found to be heavily reliant on the corporate sector, following an enterprise-led and state-guided pattern. The state cooperates closely with the private sector in a community of practice, acting as a catalyst in the early stage, a supporter in the mid-stage, and a supervisor in the later stage of the AI standardisation process. Enhancing a contextualised understanding of the fast-changing landscape of AI standardisation in China is critical for European policymakers to safeguard Europe’s competitiveness, preserve European values, and engage in dialogue on global AI governance.
Topic:
Science and Technology, European Union, Economic Policy, Artificial Intelligence, and Standardization
Political Geography:
China and Asia