Amid the rapid diffusion of artificial intelligence and the growing politicization of emerging technologies, global AI governance is increasingly shaped by strategic competition among major powers. This paper analyzes the emerging triadic contest among the United States, China, and the European Union over AI governance and argues that it is reshaping global order through a fusion of technological rivalry, institutional competition, and normative contestation. It compares three governance paradigms

Abstract:U.S. policy toward China under the Trump administration displayed pronounced features of irrationality and abrupt shifts. Drawing on the perspective of international political psychology，this article constructs a cognition-emotion-decision chain model to explain how leaders psychological mechanisms shape policy formation. Trumps policy preferences toward China stemmed from his distinctive cognitive structure. As domestic and international pressures accumulated，existing cognitive biases

With the breakthrough of generative artificial intelligence technology, the application landscape of AI is undergoing profound changes, gradually shifting from instrumental technologies primarily serving scientific research and enterprise scenarios to consumer-oriented product ecosystems for individual users. The three major competitors—the United States, China, and Europe—have each developed distinctive competitive pathways around technological capabilities, application expansion, and regulator

Since the beginning of Trump's second term, U.S. AI strategy has exhibited a more pronounced power-oriented shift, while maintaining the framework of technological development and regulatory mechanisms established in previous administrations. This paper reviews the AI strategies of three administrations—the Obama administration, Trump's first term, and the Biden administration—and argues that the dominant logic of U.S. AI strategy under Trump's second term has shifted from technological logic to

Artificial intelligence (AI), as a technology with dual effects of empowerment and disruption, is reshaping the paradigm of great-power competition and posing a challenge to the theoretical hypothesis of the “Thucydides Trap.” On the empowerment level, AI reinforces traditional power-political logic by enhancing military, economic, and strategic governance capabilities, thereby intensifying structural power competition among major powers in terms of technological resources, institutional rules,

Open and shared AI public corpora are conducive to promoting the research and development of artificial intelligence technology and the popularization of its applications, and are regarded as a new strategic resource for shaping future digital competitiveness. At present, the construction, sharing and opening of AI public corpora in China are still in the initial exploration stage, facing many dilemmas and challenges in practice. Taking local government practices in China as research samples, th

Against the backdrop of rapid iterative development of artificial intelligence, AI public corpora have emerged as new infrastructure driving intelligent emergence and empowering high-quality economic and social development. However, existing research has predominantly focused on traditional corpus construction or the development and utilization of structured public data, with insufficient attention to the conceptualization and governance of public corpora adapted to AI model training needs. To a

Changes in the international strategic environment will have a profound impact on China’s economic and social development during the 15th Five-Year Plan Period. “De-structuration”, the most prominent feature of the current international strategic environment, is ushering the world into an “era of strategic anxiety” amid heightened instability and uncertainty. China confronts both short-term risks (e.g., intensifying great-power rivalry and shifting security landscape) and medium- and long-term c