MANAGEMENT OF INTELLECTUAL PROPERTY IN AI-GENERATED ARTWORKS

Abstract

The recent rapid evolution of AI-generated artworks has provoked the essence of creativity and raised challenging questions concerning the manner in which intellectual property (IP) is understood, obtained, and implemented under the circumstances of the human-machines cooperation. The paper shall discuss the evolving character of authorship, ownership, and creative input concerning the generative AI systems and how the traditional mechanisms of copyright occasionally fail to work in favor as far as the algorithmically generated material is concerned. The questions of ambiguity in relation to human intervention in prompt-based generation, the obscurity of the position of training data on the generation products, and the impossibility to make a distinction between the concepts of inspiration, derivation, and infringement on machine-generated forms are the key ones. These concerns are compounded by ethical concerns particularly where there is no consent in the dataset on the use of copyrighted content or culturally sensitive content. In the paper, the new risk-reduction strategies, including the transparency of datasets, provenance records, watermarking systems, and hybrid licensing systems that apportion rights by the layers of contributor of builders, users, and platforms, are addressed. The paper will outline the legal, ethical, and technical considerations of the issue by saying that sustainable AI art IP management should be based on the multi-disciplinary approach that would guarantee the innovation and equitability, as well as maintain cultural respect and safeguard the inventors. The findings indicate that there is a need to have single global standards, consentual data regulations and future-oriented legal definitions that are befitting to capture the fact of the human-AI co-creation. Together, these solutions would offer a path to an IP framework that would assist in supporting the expanding creative frontier that is being established by AI technologies.