Artificial Intelligence in Japan: Policy, Prospects, and Obstacles in the Automotive Industry

As artificial intelligence (AI) has progressed, it seems inevitable for countries and firms across the world to change their old notions and attitudes toward new technologies. Since AI could have a major impact on many aspects of business and society, the future competitiveness of nations, let alone of companies, will hinge upon the effective utilization of AI technologies. However, Japan is currently falling behind the USA and China in the global technology race. Many Japanese companies that were market leaders at some point have lost their position in the international market.

[1]  Daniel Roos,et al.  The machine that changed the world : the story of lean production , 1991 .

[2]  J. Fagerberg,et al.  The competitiveness of nations , 2004 .

[3]  David C. Wilson,et al.  Inertia in Japanese Organizations: Knowledge Management Routines and Failure to Innovate , 2006 .

[4]  R. Ursano,et al.  Responses to the outbreak of novel influenza A (H1N1) in Japan: risk communication and shimaguni konjo. , 2009, American journal of disaster medicine.

[5]  Gheorghe Tecuci,et al.  Artificial intelligence , 2012 .

[6]  Toyoaki Nishida.  Artificial intelligence research in the second half century , 2012 .

[7]  Myoungho Sunwoo,et al.  Development of Autonomous Car—Part I: Distributed System Architecture and Development Process , 2014, IEEE Transactions on Industrial Electronics.

[8]  Maurice Schellekens,et al.  Self-driving cars and the chilling effect of liability law , 2015, Comput. Law Secur. Rev..

[9]  Chris N. Burgess.  To globalise or not to globalise? ‘Inward-looking youth’ as scapegoats for Japan's failure to secure and cultivate ‘global human resources’ , 2015 .

[10]  Inga Rüb,et al.  Traffic Models for Self-driving Connected Cars , 2016 .

[11]  Giovanni Pau,et al.  Internet of Vehicles: From intelligent grid to autonomous cars and vehicular fogs , 2014, 2014 IEEE World Forum on Internet of Things (WF-IoT).

[12]  Geng Yang,et al.  VP2RQ: Efficient verifiable privacy-preserving range query processing in two-tiered wireless sensor networks , 2016, Int. J. Distributed Sens. Networks.

[13]  Sharon Kerr,et al.  Exploring the impact of artificial intelligence on teaching and learning in higher education , 2017, Research and Practice in Technology Enhanced Learning.

[14]  Andrew P. McAfee,et al.  Machine, Platform, Crowd: Harnessing Our Digital Future , 2017 .

[15]  C. Caffrey,et al.  Applications of technology in the Patent Cooperation Treaty (PCT) Translation Division of the World Intellectual Property Organization (WIPO) , 2019, The Routledge Handbook of Translation and Technology.