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Title AI AND HUMAN NARRATIVES OF THE PARTITION: UNEARTHING DIFFERENCES IN EMOTIONAL RESONANCE

Author(s) Waliya Manshoor

Abstract This research explores the evolving relationship between artificial intelligence (AI) and literary production by examining how AI-generated narratives compare to human-authored stories in their depiction of the 1947 Partition of the Subcontinent. Focusing on selected short stories by Saadat Hasan Manto and Intizar Hussain—translated into English by Aatish Taseer and Alok Bhalla respectively—this study investigates the emotional resonance, thematic depth, and narrative style present in both human and AI-generated texts. Employing a qualitative, comparative methodology grounded in the theoretical framework of posthumanism, particularly the work of N. Katherine Hayles, the research evaluates the extent to which AI can replicate or diverge from human creativity, especially in culturally and historically charged contexts. The study finds that while AI can produce grammatically coherent and structurally competent narratives, it falls short in capturing the emotional depth, cultural specificity, and thematic nuance found in human-authored texts. AI-generated stories often rely on generalized representations, lacking the experiential and affective grounding essential to Partition literature. These findings underscore the limitations of AI in replicating the layered complexity of human storytelling and reaffirm the irreplaceable role of human authorship in articulating historical trauma and cultural memory.

Type Thesis/Dissertation

Faculty Languages

Department English

Language English

Publication Date 2024-10-30

Subject English Literature

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