AI and Screenwriting – Exploring Storytelling with GPT
This scientific-artistic research explores the potential of co-creation between artificial intelligence (AI) and human storytellers in the field of screenwriting. It follows these research questions: What are the necessary conditions and dynamics of human-machine interaction for collaborative screenplay writing with a GPT-based AI, and how does this collaboration influence the storytelling process?
Key aspects of the research include examining the philosophical background of AI, methods of co-creation, and investigations in narrative processes. The research investigates the potential of collaborative screenwriting with GPT-4, a generative AI in the form of Large Language Models (LLMs) that produce texts. It introduces three models for modern cinematic storytelling: Vogler’s “Writer’s Journey,” Frank Daniel’s 8 sequence approach, and Snyder’s “Beat Sheet.”
The study explores furthermore philosophical perspectives on AI, starting with Turing’s “Imitation Game” and moving on to more speculative ideas such as Haraway’s “Cyborg Manifesto” and Bostrom’s concept of “Superintelligence.” It delves into skeptical perspectives on “thinking machines,” such as Searle’s “Chinese Room” argument and Markus Gabriel’s “Sensorial Thinking“ and Manovich’s perspective on art and AI.
The research examines human and computational creativity and the evaluation of AI-generated ideas based on definition sof creativity. The study uses AI’s creative potential and human-AI interactions in the context of collaborative writing to produce a screenplay.
The beneficiaries of this research include screenwriters, producers, story developers, academic researchers on film, and the audience.