Reimagining Authorship: The Impact of Artificial Intelligence on Literary Creativity and Narrative Construction

Abstract

Abstract - The rapid advancement of artificial intelligence (AI) has significantly transformed the landscape of literary production, challenging traditional notions of creativity and authorship. With the emergence of generative AI tools such as ChatGPT, machines are increasingly capable of producing coherent, stylistically rich, and contextually relevant literary texts, ranging from poetry to complex narratives. This development raises critical questions regarding the nature of creativity, originality, and the role of the human author in the digital age. The purpose of this study is to examine the impact of AI on literary creativity and narrative construction, with particular emphasis on how authorship is being redefined. The research adopts a qualitative and comparative approach, analyzing selected AI- generated texts alongside human-authored literary works to identify differences and similarities in thematic depth, narrative structure, and stylistic elements. The findings suggest that while AI demonstrates a high capacity for pattern recognition, stylistic imitation, and structural coherence, it lacks experiential consciousness and emotional intentionality, which are central to human creativity. AI-generated narratives tend to replicate existing literary conventions rather than produce fundamentally original ideas. However, the integration of AI into the creative process enhances efficiency and opens new avenues for collaborative authorship. In conclusion, the study argues that AI is not replacing the human author but is reshaping the concept of authorship into a more collaborative and hybrid model. This transformation necessitates a re-evaluation of existing literary theories and the development of new frameworks to understand creativity in the age of intelligent machines.

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