Discussed the impact of artificial intelligence on research in humanities and social sciences, particularly the challenges and opportunities for the emerging discipline of regional studies. Explored whether artificial intelligence is only used as a research tool or can trigger a paradigm shift in disciplines, as well as its fundamental impact on the methodology of humanities and social sciences research. It emphasizes the need for regional and national studies to answer these questions and clarify the opportunities and challenges brought by artificial intelligence in the context of the intelligent age, in order to promote the long-term development of the discipline.

A Debate on Humanities and Social Sciences Research in the Era of Artificial Intelligence

The era of intelligence has had a profound impact on the scientific community, and researchers in the humanities and social sciences have been discussing it. Artificial intelligence has a positive impact on the research of humanities and social sciences, such as providing new research freedom, assisting in the study of complex systems, and achieving human-machine collaboration. Artificial intelligence has changed the "human human" relationship in academic core, promoting the transformation of research paradigm from "sample → population" to "sample=population", from "model driven" to "data-driven", from causal relationship to correlation relationship, and from traditional literature analysis to digital humanities research. At the same time, the development of artificial intelligence has also brought about new social forms and ethical issues, becoming an important research object in humanities and social sciences. To address the challenges brought by artificial intelligence, it is necessary to establish academic responsibility norms that are adapted to the development of generative artificial intelligence, strictly review the content generated by artificial intelligence, and improve the review mechanism. Humanities and social science workers should use critical thinking to ensure the appropriateness and effectiveness of research questions in a wide range of social, cultural, and historical contexts.

The Relationship between Artificial Intelligence and Humanities and Social Sciences Research

In depth exploration of the impact of the era of artificial intelligence on research in humanities and social sciences, emphasizing the importance of understanding the relationship between artificial intelligence and humanities and social sciences. The research object of humanities and social sciences is human beings and human society, which is complex, random, and ambiguous. The research methods are diverse and independent, and the researcher's position is influenced by ideological motivation and internal and external variables, possessing dual attributes of knowledge system and ideology. In the era of artificial intelligence, the fundamental role of humanities and social science researchers cannot be ignored. Artificial intelligence mainly plays a instrumental role in knowledge production, but it cannot replace researchers' own thinking. At the same time, the changes in social relationships and social structures that the era of intelligence may bring are also worth paying attention to, such as the research on artificial intelligence itself and the profound changes in the basic form and operation mode of intelligent society.

Regional and national studies as interdisciplinary fields

Discussed the importance and characteristics of regional studies as an emerging interdisciplinary field. In the context of globalization and international uncertainty, regional studies integrate knowledge from multiple disciplines such as foreign languages, literature, political science, and economics to comprehensively study the politics, economy, culture, and other aspects of different regions and countries, forming an academic system with Chinese characteristics. The relationship between regional studies and humanities and social sciences is characterized by cross symbiosis and mutual subjectivity. Its disciplinary positioning emphasizes the study of language and culture, the accumulation of historical knowledge, and the complementarity of political science and economic theories and methods. The characteristics of disciplines include strong interdisciplinary nature, strong practical orientation, and strong dynamic openness, serving national strategies and global governance, achieving a balance between global perspectives and local discourse. The multidimensional expansion of the research object breaks through the scope of traditional sovereign states, covering three dimensions: time, space, and subject. In terms of methodology, regional studies have achieved interdisciplinary collaboration, technology driven paradigm innovation, and strategic oriented knowledge production, serving the interaction between China and the world and the construction of a community with a shared future for mankind.

The Empowerment and Limitations of Four Artificial Intelligence in Regional and Country Studies

The impact of artificial intelligence technology on regional and national research paradigms was discussed, and it was pointed out that artificial intelligence technology not only serves as a tool, but also reshapes the knowledge production process. The development direction of artificial intelligence technology is highly aligned with regional and national studies, which can overcome language barriers, integrate multimodal data, and drive chain changes in the knowledge production process. At the same time, artificial intelligence prediction models pose a challenge to the explanatory framework of traditional qualitative research, requiring academia to establish a dual perspective of "technology humanities" and balance technological empowerment and humanistic value. The chapter emphasizes that while artificial intelligence improves the efficiency of cross regional research, it is necessary to establish an algorithm audit mechanism to prevent cognitive bias, retain critical thinking when accepting data-driven paradigms, and establish ethical norms for digital fieldwork when expanding computational humanities methods. The empowerment of regional studies by artificial intelligence is reflected in enhancing the initiative of research subjects, promoting interdisciplinary integration, and improving the strategic value and practical significance of research. However, artificial intelligence also brings challenges, such as the value biases hidden in the technological "black box", the political stance impact on knowledge production serving national strategic needs, and the impact on traditional research paradigms. The development of artificial intelligence technology has put forward new requirements for talent cultivation in regional and national disciplines, requiring an organic combination of academic research, talent cultivation, and policy consultation. Although artificial intelligence has limitations in the deep integration of interdisciplinary perspectives, the subjectivity of human researchers cannot be replaced in interdisciplinary research and application, promoting cultural and academic exchanges between regions and countries to a new stage.

Five concluding remarks

Regional studies have become an innovative field that integrates artificial intelligence and humanities and social sciences research in the era of intelligence. Its complex knowledge system and data requirements provide application scenarios for AI technology. The application of AI technology has enhanced the spatiotemporal dimension and explanatory power of research, giving rise to new research paradigms. Build AI models with regional cultural sensitivity to achieve breakthroughs in cross regional comparative research. AI driven big data and big language models provide methodological insights for the reconstruction of humanities and social science theories. The interaction between technological empowerment and academic innovation will reshape the logic of knowledge production and promote a systematic knowledge revolution in humanities and social sciences. But AI also brings challenges, such as academic responsibility dispersion, potential discrimination, trust crisis, etc., which may weaken researchers' subjectivity and deep thinking ability, causing concerns about the impact on disciplinary paradigms and value biases.