Understanding AI Driven Innovation by Linked Database of Scientific Articles and Patents

Author Name MOTOHASHI Kazuyuki (Faculty Fellow, RIETI)
Creation Date/NO. November 2018 18-P-017
Research Project Empirical Analysis of Innovation Ecosystems in Advancement of the Internet of Things (IoT)
Download / Links


The linked dataset of AI research articles and patents reveals that substantial contributions by the public sector are found in AI development. In addition, the role of researchers who are involved both in publication and patent activities, particularly in the private sector, increased over time. That is, open science that is publicly available in research articles, and propriety technology that is protected by patents, are intertwined in AI development. In addition, the impact of AI, combined with big data and IoT, which are defined as "new" IT innovations, is discussed by comparing it with traditional IT, which only consists of the technological progress of computer hardware and software developments. Both new and traditional IT can be understood by using the framework of GPT (general purpose technology), while the organization of new IT innovation can be characterized as an emergence of multiple ecosystems, instead of being organized in the pattern of platform leadership, found in traditional IT.