Discover the SKEMA Business School report on Artificial Intelligence. It provides a map of AI activities and expertise in different countries and highlights the particularities of how innovation systems are organised in the countries that contributes the most to the evolution of AI technology. Which takeholders? What are the challenges? What business cases? There are many questions. This report, led by researchers Ludovic Dibiaggio, Lionel Nesta and Mohamed Keita, contributes to a better understanding of the industrial and scientific dynamics at play.
More than a new technology, artificial intelligence has initiated new methods of innovation leading to technical and industrial options that were previously impossible to achieve only by human intelligence. While the economic and industrial prospects are promising, the stakes are considerable. However the scale of the investments with uncertain returns, the players must make strategic positioning choices that commit them over the long term. The aim of this report is to shed light on the specificities of technological and industrial challenges raised by artificial intelligence and to look at the positions of the various leading countries.
Artificial intelligence, universal and multidimensional
This report proposes several original features. Artificial intelligence is not monolithic. It is a technological system based on scientific advances and developing more or less specific or complementary techniques depending on the applications. The authors rely on an analysis of patents related to artificial intelligence to highlight the nature and intensity of the links between these different dimensions: which scientific fields contribute to the development of different AI technologies, to ensure which function and for which industrial application? This first step makes it possible to propose a mapping of the expertise and relative positions of the various countries studied.
In addition, the report analyses the network between key players (public and private) in each country and highlights the national specificities of innovation systems despite comparable public policies.
As the French mathematician Cédric Villani explained in 2018, when one becomes interested in artificial intelligence, it quickly presents itself as such a universal and multidimensional subject and naturally escapes the observer. This report proposes a reading grid that allows the reader to better understand the complexity of artificial intelligence.