The paper analyzes the emerging practice of AI Literature – i.e., literary texts written using AI in the creative process – as an ethically engaged form of writing that critically reworks technological imaginaries. Data-driven AI systems incorporate and reproduce social conflicts linked to cultural, ethnic, and gender hierarchies embedded in language and in the training corpora. Within this context, contemporary writers who incorporate AI systems into their creative process intervene in these dynamics by engaging with language models through conscious and situated practices of interaction. Creative practice becomes a site of critical negotiation where the biases and assumptions embedded in AI models can be exposed, distorted, and problematized. Methodologically, the paper adopts a qualitative approach based on close reading and critical discourse analysis of selected works that explicitly integrate generative AI within literary production. The analysis focuses on three case studies – A Black Story May Contain Sensitive Content by Lillian-Yvonne Bertram, Miss-Communication by Johanna Walsh, and Wash Day by Arwa Michelle Mboya – which are examined as examples of authorial practices that engage with AI systems to interrogate issues of ethnicity, gender, and cultural representation. The study situates these works within a broader theoretical framework that draws on cultural studies, transculturality, and decolonial and gender studies. By examining how authors interact with AI systems as part of the creative process, the paper argues that AI Literature can function as a form of counter-narration that reveals and destabilizes the ideological structures embedded in technology.

Authors:
Daniel Raffini, Sapienza Università di Roma, Italy

About the Presenter(s)
Daniel Raffini is a research fellow at the Department of Computer, Control and Management Engineering at Sapienza University of Rome. His research spans in digital humanites and comparative literature.

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