Reimagining Copyright: Analyzing Intellectual Property Rights in Generative AI

Generative Artificial Intelligence (Generative AI) is completely turning the workforce upside down. This can be mainly attributed to the efficiency it brings to the organisation and educational institutions. With rapid digital developments observed across the globe, Generative AI is currently shaping the way people work. Mundane and repetitive tasks are now handled by AI applications such as Chat GPT which is helping organisations to cut costs directly. However, it is also important to understand the impact of Generative AI on the creative economy sector. Idea-expression dichotomy and the substantial similarity test for infringement are the two major aspects of the Copyright legal doctrines that are challenged by AI-generated content. The question which is raised is regarding the ownership of the training data set used in the Generative AI model. This will decide the degree of ownership of the content produced using the Generative AI model. The training data set is essentially used to draw comparisons with its existing information to create new content based on the human input received. In theory, copyright law does not put a restriction on ideas but more on how it is expressed. Due to this, legal battles are fought by many content creators with AI companies on the ownership of the content produced. The Generative AI models have the training data in the form of a mathematical model which helps to recreate any picture, sound or text based on the human input received. So, it is very important to understand the current landscape of AI-generated content and its implications on Intellectual Property Rights.