Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI

arXiv:2404.08221v1 Announce Type: new
Abstract: In the rapidly evolving landscape of generative artificial intelligence (AI), the increasingly pertinent issue of copyright infringement arises as AI advances to generate content from scraped copyrighted data, prompting questions about ownership and protection that impact professionals across various careers. With this in mind, this survey provides an extensive examination of copyright infringement as it pertains to generative AI, aiming to stay abreast of the latest developments and open problems. Specifically, it will first outline …

abstract advances ai advances artificial artificial intelligence arxiv careers copyright copyright infringement cs.ai cs.cy cs.lg data generate generative generative artificial intelligence impact infringement intelligence issue landscape mind ownership professionals prompting protection questions type uncertain