The Technology Transfer Process and Intellectual Property Rights on Neural Network Elements of Artificial Intelligence

Valery Stepenko, Olga Chernova, Yuri Bokov, Yuri Truntsevsky

The authors study the process of innovation and technology transfer in the full life cycle of the invention. The authors aim to find the optimal proportions for the distribution of profits for society among participants in a multi-stage innovation process that involves artificial intelligence. The authors use statistics on the registration of patent applications related to artificial intelligence. Based on the latter, the authors show that the use of artificial intelligence and applications of deep learning neural networks contributes to a noticeable growth in the industry. The authors propose a policy that promotes a better balance of interests between the inventor and society in the case of involving artificial intelligence in the innovation process.

Volume 12 | 02-Special Issue

Pages: 215-220

DOI: 10.5373/JARDCS/V12SP2/SP20201063