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

Kazuyuki Motohashi (1, 2)

1 UTokyo - The University of Tokyo
2 RIETI - Research Institute of Economy, Trade and Industry

The linked dataset of AI research articles and patents reveals that substantial contribution of public sector is found for AI development. In addition, the role of researchers who are involved both in publication and patent activities, particularly in private sector, increased over time. That is, open science, publicly available by research articles and propriety technology, protected by patents are intertwined in AI development. In addition, the impact of AI, combined with big data and IoT, defined “new” IT on innovation is discussed, by comparing with traditional IT, consisted by technological progress of computers and software developments. Both of new and traditional IT could be understood by using the framework of GPT (general purpose technology), while the organization of new IT innovation can be characterized by emergence of multiple eco-systems, instead of the pattern of platform leadership, found in traditional IT.

Mots clés: Patent data; Artificial Intelligence; General Purpose Technology

Domaines: Sciences de l'information et de la communication

Kazuyuki Motohashi. Understanding AI Driven Innovation by Linked Database of Scientific Articles and Patents. 2018. ⟨halshs-01923572⟩