AI And Copyright

Abstract

In the realm of AI and copyright, secondary data analysis reveals a landscape characterized by the burgeoning capabilities of artificial intelligence to autonomously generate creative content, challenging traditional copyright principles and raising questions about authorship and ownership. This analysis delves into the evolving debates surrounding copyright infringement, as AI's capacity to replicate and transform copyrighted materials blurs the lines between original works and derivative content. The nuanced concepts of "fair use" and "transformative works" are under scrutiny in the context of AI-generated content, leading to legal disputes and the need for sophisticated copyright infringement detection mechanisms. Additionally, secondary data underscores the complexities of licensing and royalty arrangements for AI-generated content and highlights the ethical and social concerns associated with the impact on human creativity and potential job displacement in creative industries. It emphasizes the importance of global considerations and harmonization of international copyright laws. Ultimately, this secondary data analysis illuminates the multifaceted nature of the AI-copyright intersection, necessitating ongoing research and informed policy decisions to navigate this evolving terrain.