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Prompt-Screenplay: A Multimodal Framework for Human-AI Co-Creation and Authorship Protection in Generative Media

Publié
Serveur de preprints
Preprints.org
DOI
10.20944/preprints202510.1371.v1

The rapid advancement of generative artificial intelligence has fundamentally transformed content creation, yet existing screenplay formats fail to bridge the gap between human artistic intention and machine interpretation while ensuring legal protection of authorship. This paper introduces the prompt-screenplay—a novel hybrid format that simultaneously functions as human-readable narrative, machine-executable instruction set, and legally verifiable proof of authorial intent. We propose a five-layer semiotic architecture integrating: immutable authorial vision through master prompts, visual semantic node-based narrative structure, adaptive presentation for target audiences, personalized viewer experience with biometric feedback, and comprehensive analytics for content evaluation. The system employs morphological modifiers embedded in natural text, inline commands for AI instruction, and cryptographic consistency tags for preventive copyright protection through blockchain registration. A pilot transformation of the science fiction screenplay “SKOR” demonstrates practical applicability for multimodal generation across video, audio, comics, games, and interactive media, with particular efficacy for vertical mobile formats dominating contemporary consumption. Unlike existing approaches, prompt-screenplays preserve artistic expressiveness while encoding machine-readable metadata at the conception stage, addressing the critical legal gap in AI-generated content authorship.

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