Biography
BELAHMAR LOUAZANI Nihad Soumia is a second-year PhD student in Applied Linguistics in the Department of English Language at Ibn Khaldoun University of Tiaret, Algeria. Her doctoral research focuses on forensic linguistics, examining questions of language, authorship, and identity within legal and investigative contexts, including how linguistic evidence can be systematically analyzed and interpreted. She also maintains a strong research interest in artificial intelligence and its relationship to language and culture, exploring how generative language technologies are reshaping linguistic production, textual authenticity, and cross-cultural communication in an increasingly digital world. She holds a Master’s degree in Linguistics, which provided the analytical foundation for her current doctoral research. Nihad Soumia has presented her work at several conferences, engaging with scholars working across linguistics, forensic science, and language technology. Her broader research interests include authorship attribution, computational approaches to language analysis, and the evolving role of artificial intelligence in literary, legal, and everyday communication.
Conference contributions 1
LITERARY LANGUAGE IN THE AGE OF GENERATIVE ARTIFICIAL INTELLIGENCE:
Between imitation and innovation
The rapid development of generative artificial intelligence (AI) has introduced new possibilities for the production, interpretation, and circulation of literary language. AI systems are increasingly capable of generating poems, narratives, dialogues, and other forms of creative writing that can resemble human-authored texts in style, structure, and emotional expression. This development raises important questions concerning the nature of literary creativity and the boundaries between imitation and innovation. While AI-generated texts often draw upon patterns and conventions derived from existing literary works, their capacity to recombine linguistic and stylistic elements challenges conventional understandings of originality and authorship. This paper explores the relationship between imitation and innovation in AI-generated literary language, focusing particularly on the concepts of creativity, originality, and authorship. It examines whether the apparent creativity of generative AI represents genuine innovation or sophisticated linguistic recombination based on previously existing human-generated material. The paper further considers how the involvement of AI complicates the traditional distinction between author and tool, particularly when literary texts are produced through collaboration between human prompts and machine-generated language. By approaching AI-generated literature as a developing form of literary production, the study highlights both its creative potential and its limitations. Ultimately, the paper argues that AI does not simply reproduce literary language but participates in transforming how literary creativity and authorship are understood. The emergence of AI-generated literature therefore calls for a reconsideration of originality, innovation, and the human role in literary creation.