Generative AI in Academia: Navigating Copyright and Intellectual Property Challenges

Abstract

Generative artificial intelligence has emerged as a powerful asset in academic research,
enabling the independent creation of diverse types of content. These technologies have
significantly transformed the methodologies employed in academic inquiry; however,
their integration into the educational sphere raises intricate intellectual property (IP)
and copyright challenges. This paper investigates the potential issues of managing
intellectual property and copyright concerns of generative AI research in academic
contexts. It further explores the intricacies of licensing contracts, datasets, ownership,
derivative works, fair use, and the enigma raised by AI-generated content.

However, several studies have demonstrated that end users of generative AI can issue
commands that, when followed, result in works that closely mimic copyright-protected
content. Lucchi (2023) raised concerns about AI’s prospects and new applications in
various sectors, including replicating human conduct affecting society and law. The
paper also delves into appropriate legal implications of ownership of AI-generated
content and analyses the risk of copyright infringement of AI-generated content.