Copyright on a product created by a neural network

Abstract

Neural networks have currently been increasingly affecting various spheres of our life, including the field of art. From a legal perspective, the issue is addressed regarding the regulation of copyright for creative works utilizing artificial intelligence. This article explores the ownership of copyright for works created by neural networks. The neural network itself is characterized, as well as its features that are essential for legislative regulation. The objective of the paper consists in examining the possible options for copyright ownership of works created by neural networks. Materials and Methods: The research employs such methods and techniques, as analysis, synthesis, public opinion surveys, comparative legal analysis, and specialized legal methods. The study is based on civil legislation related to intellectual property rights and means of individualization. Results and Conclusions: The analysis of the main provisions regarding who may own rights to a product generated by a neural network has been conducted. The advantages and disadvantages of each potential ownership scenario for copyright on a specific product have been examined. A survey for analyzing public opinion on this issue is presented, which may also be useful for further legislative regulation in this area.