Published Paper Details:

The rapid advancement of generative Artificial Intelligence (AI) has fundamentally altered the conditions of literary production, compelling scholars to reconsider long-established concepts of authorship, originality, creativity, and literary value. This paper critically examines how AI disrupts traditional human-centric models of authorship and challenges the ethical, aesthetic, and cultural foundations of literature. Drawing exclusively on secondary theoretical and empirical scholarship, the study argues that AI does not signal the end of literature but rather exposes authorship as a distributed, relational, and institutionally mediated practice. The paper proposes a symbiotic model of authorship, wherein human intentionality, ethical responsibility, and cultural situatedness coexist with algorithmic textual productivity. By foregrounding reader reception, originality, literary labour, and the implications for marginal and indigenous literatures, the paper contributes a theoretically grounded framework for understanding literature in the age of artificial intelligence.