Intellectual Property in Innovation Processes under Conditions of Artificial Intelligence and Modern Technology Development

Abstract

This dissertation investigates significant transformations and challenges within innovation architecture and intellectual property management structures, precipitated by the rapid advancement of artificial intelligence and frontier technologies. The research elucidates how algorithmic generation, data-intensive innovation, and self-renewing technological ecosystems fundamentally alter the mechanisms governing intellectual property creation, ownership, protection, and commercialization. Particular attention is devoted to artificial intelligence as a creative subject, examining the concomitant legal and economic challenges emerging from technological progress.

Research Aim:

To analyze the transformation of intellectual property systems in the era of artificial intelligence and emerging technologies, thereby establishing a theoretical-practical framework that facilitates the adaptation of intellectual property management models to contemporary technological imperatives.

Research Objective:

Analysis of the legal and economic dimensions of artificial intelligence's creative capacity, issues of authorship and intellectual property rights allocation, and the role of artificial intelligence as a creative agent.