|Title of project:||Artificial Intelligence in China – data, methods and sector applications|
|Project group:||Innovation Management|
|Year of commencement:||2019|
|Artificial intelligence (AI) techniques such as fuzzy logic, probabilistic reasoning, logic programming, ontology engineering and machine learning reduce the cost of predications and, thus, improve our ability to deal with uncertainty. AI is a general-purpose technology. Thus, it is pervasive in nature, it leads to profound technological change and it will affect all sectors of the economy. Apart from the US and Japan, China has become a major economy in the development of applied and fundamental AI research. A substantial part of these activities stems from Chinese public research institutes and universities. Yet, China also rapidly implements AI in various commercial application fields. We witnessed an impressive growth of Chinese digital firms such as Alibaba, Baidu, Tencent, Xiaomi, ZTE, Huawei, which conduct AI-related research, implement AI talent training programs and set up cooperative research laboratories. There is also an increasingly active Chinese AI start-up scene. There are fewer obstacles to collecting vast amounts of data in China than in other countries, which might help to explain why China has excellent training data collections for speech recognition, human behaviour modeling and medical data, for example. China does not develop AI in isolation. Chinese actors collaborate internationally, in particular with the US, to exploit complementary specializations and competences. AI has also become a part of China’s national strategy and received government support at various levels. Some of these factors describe the emergence of a distinct ‘Chinese model’ for the development and diffusion of AI, which is in the focus of this research project.
This research project aims at understanding the particular patterns, dynamics, drivers and effects of AI development and diffusion in China.
In particular, the project aims at (1) improving the availability of data for empirical research and indicator development by integrating information from patents, publications, the web as well as firm level data. The partners also aim at (2) advancing the use of state-of-the-art Machine Learning and AI techniques to map the Chinese AI ecosystem. Furthermore, the project aims at (3) facilitating mixed methods studies in sector specific research by exploring the application of AI in road transport, which links automobiles and mobility services with public transport policy and the supporting infrastructures in AI ecosystems. Finally, the project aims at (4) improving our knowledge about the nature of Chinese innovation policies related to the governance of AI, as well as the role played by private sector enterprises in establishing AI ecosystems that stimulate the diffusion of artificial intelligence technologies.
|Primary contact person:||Associate Professor Björn Jindra
Department of International Economics, Government and Business, Copenhagen Business School
Porcelænshaven 24A, DK-2000 Frederiksberg
DK, Phone: +45 3815 2574
|Fellow project partners:||Professor Ping Lv, Professor Xielin Liu, Professor Jiang Yu & Assistant Professor Si Zhang, School of Economics and Management, University of Chinese Academy of Sciences, P.R.C.
Professor Yingqi Liu, Zeyuan Song PhD Fellow & Lei Zhang PhD Fellow,
Associate Professor Yuan Zhou, School of Public Policy and Management, Tsinghua University, P.R.C.
Assistant Professor Daniel Hain & Assistant Professor Roman Jurowetzki
Professor Ari Kokko, Associate Professor Faith Hatani, Benjamin C. Larsen PhD Fellow & Associate Professor Björn Jindra, Department of International Economics, Government and Business, Copenhagen Business School, DK.
|SDC PhD project affilliation:||
PhD project on “Ecosystems, Platforms and the Governance of AI across China and the US” by Benjamin C. Larsen PhD Fellow, Copenhagen Business School with supervision by Professor Ari Kokko (CBS) & Professor Jiang Yu (Chinese Academy of Sciences).
PhD project within the theme of “(Eco-)System Mapping at the example of Artificial Intelligence (AI) technology development and application in China” starting Oct/Nov 2019, University of Aalborg with supervision by Assistant Professor Roman Jurowetzki, Assistant Professor Daniel Hain & Associate Professor Birgitte Gregersen
|Home institution:||Sino-Danish Center for Education and Research|
|Scheduled project activities:||There are a number of designated project milestones for the above outlined research aims. In addition to mutual visits, workshops are going to be organised to present, discuss and disseminate findings. The partners aspire to attract external funding from different sources to enhance international mobility, PhD training and collaborative research. The project also aims at promoting industry-science interaction. The project provides a platform for various joint publications including special issues.|