Grouphorse in the News
GroupHorse Data Governance Industry Center Officially Established at the School of English Studies, Shanghai International Studies University
On the afternoon of June 5, 2026, the unveiling ceremony of the GroupHorse Data Governance Industry Center at the School of English Studies, Shanghai International Studies University (SISU) was held at the university’s Songjiang Campus.
The center was officially inaugurated by Professor Sun Huijun, Dean of the School of English Studies at SISU, and Zhang Li, Chairwoman of GroupHorse Group.
The ceremony was held in conjunction with the final round and award presentation of the 10th Fang Zhong Translation Award Interpreting Competition, organized under the “GroupHorse Cup” banner. Leaders and representatives from relevant university departments, affiliated schools, partner organizations, and the student community gathered to witness this important milestone.
Over the years, Shanghai International Studies University and GroupHorse Group have maintained close cooperation across a wide range of areas, including language services, internship and practical training programs, international study initiatives, academic and professional competitions, and talent development.
The establishment of the center marks a significant expansion of this partnership into frontier areas of artificial intelligence, including high-quality data construction, professional semantic governance, human-feedback-based AI development, and model evaluation. Building upon the strong foundation of previous collaboration, the new center represents a substantive step toward deeper integration between foreign-language disciplines and the AI industry, creating new opportunities for interdisciplinary talent cultivation and innovation-driven development.
▲ Unveiling Ceremony of the GroupHorse Data Governance Industry Center at the School of English Studies, Shanghai International Studies University
Today, advances in large AI models depend not only on algorithms and computing power. A model’s ability to accurately understand language, culture, context, and specialized knowledge is largely determined by whether its training and evaluation data are authentic, standardized, professional, and reliable. Particularly in multilingual, cross-cultural, and domain-specific scenarios, language data requires far more than simple annotation. It must undergo rule design, semantic evaluation, expert review, quality assurance, and continuous assessment before it can be transformed into high-quality data assets capable of supporting model training and real-world deployment.
Based on this understanding, the center will focus on four key areas in the future:
Multilingual Corpus and Cross-Cultural Semantic Data Development — supporting large-model training and international communication initiatives.
AI Model Evaluation and Human Feedback — improving model reliability, professional accuracy, and alignment with human values.
Specialized Data Governance — exploring structured knowledge processing and the development of high-quality datasets in professional domains.
Industry Project Integration and Practical Training — introducing real-world projects and hands-on assignments to help students develop transferable career competencies for the AI era.
The center will serve not only as a platform for teaching and research, but also as an industry-education integration hub connecting academic curricula, practical training, industry projects, and talent development. Together, the two parties will explore ways to transform real industry tasks into teaching cases and project-based learning opportunities. Students will be encouraged to participate in annotation guideline design, multilingual corpus processing, model output evaluation, professional semantic review, and data quality assurance. Through these experiences, they will gradually evolve from language learners into interdisciplinary professionals who understand language, culture, rules, and data.
For many years, GroupHorse Group has specialized in the organization and delivery of high-standard, multilingual, and cross-cultural projects. The company serves as an official language service provider for nearly forty international organizations, including the United Nations, the World Health Organization (WHO), the World Intellectual Property Organization (WIPO), and the International Monetary Fund (IMF). The rigorous standards of accuracy, compliance, process management, and accountability developed through serving international organizations have provided a strong foundation for the company’s expansion into the AI data sector.
Building on this experience, GroupHorse Group has successfully adapted and extended its quality-management methodologies from language services to AI data projects, establishing a comprehensive quality-control system that covers the entire project lifecycle.
In terms of talent development and organizational capacity, GroupHorse Group has established formal partnerships with more than 200 universities and colleges across China. Through the creation of industry colleges, data governance industry centers, industry-education integration bases, and nationwide collaborative consortiums, the company has continued to build a professional talent network that is trainable, scalable, and quality-assured.
In recent years, GroupHorse Group has participated in a wide range of projects involving multilingual corpus development, training and evaluation data for large models, human feedback systems, professional semantic annotation, and data governance initiatives in specialized sectors such as law, healthcare, and ESG. These projects have enabled the company to accumulate extensive end-to-end experience covering rule design, task decomposition, workforce organization, quality control, and standardized project delivery.
In her remarks, Zhang Li, Chairwoman of GroupHorse Group, stated that the establishment of the center represents an important exploration by both parties to align with the development of artificial intelligence and advance traditional language services toward a new stage of intelligent data governance and industry-education integration.
She emphasized that future foreign-language professionals should not simply be individuals who possess language skills. They should also develop cross-cultural understanding, professional judgment, rule awareness, and data literacy, ultimately becoming interdisciplinary talents who understand language, culture, governance principles, and data.
Zhang further noted that the rise of AI does not signal the marginalization of foreign-language disciplines. On the contrary, the more large models are expected to understand the world, culture, and social norms, the more important it becomes to leverage the strengths of foreign-language studies in language comprehension, cross-cultural interpretation, and professional semantic governance.
She stated that GroupHorse Group will continue to introduce real-world projects, industry resources, and quality-management expertise into the center’s development, working closely with the School of English Studies to explore an industry-education integration model centered on co-developing curricula, co-delivering practical training, co-cultivating faculty expertise, and co-creating outcomes.
The School of English Studies at Shanghai International Studies University brings a strong tradition in the humanities and language education, while GroupHorse Group contributes international service experience, industry project capabilities, and a nationwide university collaboration network. Together, these complementary strengths will provide a solid foundation for the center’s future development.
Leveraging the center as a platform, both parties will progressively advance cooperation in talent cultivation, practical teaching, standards research, project-based training, and outcome transformation, with the goal of developing a distinctive multilingual AI data governance model rooted in the strengths of foreign-language disciplines.
From translating language to governing semantics, from understanding texts to evaluating models, and from training language professionals to cultivating interdisciplinary talent for the AI era, the establishment of the GroupHorse Data Governance Industry Center at the School of English Studies, Shanghai International Studies University marks not only a new chapter in the partnership between the two organizations, but also an important example of how foreign-language disciplines can proactively respond to the transformative opportunities and challenges of the age of artificial intelligence.
▲ Zhang Li, Chairwoman of GroupHorse Group, Delivering Remarks at the Unveiling Ceremony
