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@article{181775,
        author = {Manasvini G Padmasali and Sai Chaitanya Snehal Burle and Aditi Singh and Dr Chitra B T},
        title = {A Unified Framework for IP Governance in AI-Generated Content Using Blockchain and Artificial Intelligence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {5538-5546},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181775},
        abstract = {The rapid rise of AI-generated content has exposed key limitations in existing intellectual property (IP) systems, particularly around authorship attribution, legal recognition, and cross-border enforceability. This paper introduces a four-tier framework that integrates blockchain technology, smart contracts, and international legal standards to manage the lifecycle of IP rights associated with AI outputs. The architecture consists of: (i) authorship classification reflecting levels of human and machine contribution, (ii) blockchain-based registration and automated licensing, (iii) legal mapping aligned with global agreements such as the Berne Convention and TRIPS Agreement, and (iv) a governance layer enabling oversight and regulatory access. Applications across creative media, open-source development, digital publishing, and academic research illustrate the model’s relevance in diverse sectors. By addressing current gaps in attribution models, legal-tech integration, and institutional enforcement, the framework offers a structured path toward more reliable and interoperable IP governance in AI-driven environments.},
        keywords = {Artificial Intelligence, Blockchain, Digital Transformation, Digital Rights Management, Intellectual Property (IP) Rights, IP Protection Technologies, Machine Learning},
        month = {June},
        }