Submitted:
05 January 2026
Posted:
13 January 2026
You are already at the latest version
Abstract
Today, Artificial Intelligence (AI) is rapidly transforming digitalstorytelling through advances in text generation, multimodalsynthesis, and interactive narrative systems. Large LanguageModels (LLMs), vision-language models, and generative mediamodels make it possible for the creators to design adaptivemultimedia content stories, images, and auditory environmentsthat can be created with less manual work. This paper suggests aconceptual framework for understanding practicing AI-enabledstorytelling as human-AI collaborative production. Instead ofdiscussing an actual implemented model, the paper synthesizesexisting research in AI, narrative theory, and digital mediato introduce the AI-Assisted Storytelling Model (AASM) asan analytical and organizational framework. The paper talksabout narrative aspects, multimodal alignment, Interactivity,applications, and ethical issues to be supported/reviewed futureempirical and creative research.
Keywords:
artificial intelligence
; cross-modal
; machine learning
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
