Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{181971,
        author = {Aneesh Sai Grandhi and Anjali Heda and Allan Saldanha and Vrushabh Brahmbhatt and Dr. Chitra B T},
        title = {Ethical considerations in AI-generated content  and IP ownership},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {385-392},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181971},
        abstract = {The rise of Artificial Intelligence (AI) models capable of autonomously generating creative works, ranging from art and music to written content has exposed significant gaps in traditional intellectual property (IP) laws. Existing legal frame- works are not entirely suitable to define authorship, ownership, and accountability of AI-generated content, leading to unresolved disputes and regulatory inconsistencies. The focus of this paper is on how existing intellectual property (IP) laws struggle to keep up with AI’s capabilities. Drawing on a wide range of recent research, we examine ethical concerns like authorship, consent, bias, and the erosion of human credit in creative processes. Despite the efforts of many scholars to propose legal reforms, AI still presents a lack of a clear solution. To mitigate these complexities, the work carried out proposes a blockchain- based attribution framework integrating authorship tracking and provenance verification. These findings highlight the need for flexible laws that support innovation and ensure ethical AI use.},
        keywords = {Artificial Intelligence, Intellectual Property, Content Ownership, Copyright Law, Creative Industries, Ethical AI},
        month = {July},
        }