Dinner Depression by Julia Roy Raffel, An Artificial Intelligence Authored Novel: A Comprehensive Analysis

Abstract

This study uses Julia Roy Raffel's Dinner Depression, a book that was totally produced by artificial intelligence, to investigate AI-generated fiction. The study emphasizes how AI transforms creativity, authorship, and narrative coherence in the posthuman world by concentrating on the semantic structures found in the novel. The book provides insights into how non-human authorship challenges conventional narrative assumptions and demonstrates the complex ways AI interacts with storytelling. The article contextualizes the blurring lines between human and machine creativity by first exploring posthuman ideas. Through attentive reading and semantic analysis, it examines Dinner Depression's characters, coherence, and meaning, exposing the unique narrative patterns of literature produced by artificial intelligence. The study demonstrates AI's ability to produce emotionally compelling narrative

s by analyzing the text's semantic richness and coherence. The results highlight AI's capacity to create complex stories that captivate readers and point to a revolution in writing. This study raises questions about creative collaboration between humans and machines and suggests a future in which artificial intelligence (AI) reimagines authorship and storytelling. In the end, it offers a thorough examination of AI's developing involvement in literary production, stimulating more research into the changing dynamics of tales produced by machines and humans.