ISSUES AND CHALLENGES AT THE CROSSROAD OF ARTIFICIAL INTELLIGENCE AND COPYRIGHT: A DISCUSSION

Abstract

This study explores the association of AI and copyright law, specifically looking at the challenges that have arisen as a result of AI's increasing impact on creative output. The introduction emphasizes apprehensions regarding authorship, ownership, and originality in relation to AI-generated content, contending that conventional copyright laws, which depend on human creation, find it challenging to accommodate AI's capabilities. The study seeks to delineate principal issues and challenges at this intersection, utilizing a descriptive methodology that aggregates secondary data from diverse sources. Several major problems are listed, starting with the effects of AI on authorship and ownership rights. The fact that there is no traditional human creator makes it harder to enforce copyright. Furthermore, the temporal constraints of copyright protection and the moral rights linked to authorship become indistinct in instances of AI-generated output, which is devoid of intent or emotional depth. The manuscript focuses on the possible dangers that AI poses to human creativity and the way creative industries work in the economy. It also talks about the problems that come up with enforcing the law because AI can copy and mix up content, which means that derivative works and fair use need to be looked at again. There are a lot of worries about plagiarism because AI-generated outputs could accidentally look like copyrighted works, which makes it harder to find plagiarism. The write-up talks about how AI can help with copyright enforcement by making it easier to find violations and by suggesting new rules that take into account the unique qualities of AI-generated works. The authors suggest making clear rules for AI authorship, changing how we think about originality, setting clear copyright periods, and changing moral rights to fit what AI can do. A collaborative global strategy is recommended to align copyright regulations across different jurisdictions. The paper also looks at copyright protection in different parts of the world. It points out that the laws in India, China, the UK, the US, and the EU all handle AI-generated works differently, but human involvement is still a key requirement for authorship. It is important for stakeholders to keep talking to each other and for lawyers to learn about the effects of AI. Finally, ends by calling for flexible and open governance of copyright law to help people and machines deal with the changing world of creativity while still protecting intellectual property rights.