Rapid advancements in generative artificial intelligence (Generative AI) have sparked a global revolution, ushering in a new era of accelerated automation that promises to upend industries, boost productivity, and potentially displace significant portions of the white- and blue-collar workforce. However, the rise of Generative AI also presents numerous challenges, particularly in the realm of copyright and infringement. The use of copyrighted works as training data for AI models has sparked fierce debates among creators, artists, writers, and programmers who object to their creations being utilized without attribution or compensation. Whether AI-generated content should be protected under copyright law is contentious, as the traditional copyright framework was designed for human creators. This paper delves into the copyright and infringement challenges posed by Generative AI, examining the legal framework, case studies, and potential solutions. It argues that a strategic approach is necessary to navigate the complexities of this rapidly evolving technology while ensuring the protection of intellectual property rights. The paper concludes by advocating for the development of comprehensive legal frameworks that balance the benefits of Generative AI with the need to safeguard creators’ rights.
Research Article
Open Access