Co-Creation Mode: A Human-AI Collaborative Workflow for Verifiable Creative Processes

This paper proposes “Co-Creation Mode,” a human-AI collaborative workflow designed to make creative processes transparent, traceable, and verifiable. Rather than relying on a single black-box prompt-to-image generation step, the framework embeds human decision-making throughout an iterative six-stage workflow in which humans and AI jointly contribute to the creation of visual assets. The proposed model addresses emerging copyright and authorship challenges by shifting attention from static outputs to documented creative processes. Each stage of interaction generates a structured record of human and AI participation, creating a verifiable creative pedigree that can be reconstructed and audited by third parties. Co-Creation Mode functions not only as a production workflow but also as a foundation for provenance-oriented systems such as Proof of Creation (PoC) and cryptographic verification layers. By making human involvement visible, traceable, and reviewable, the framework aims to support transparency, accountability, and future authorship assessment within AI-assisted creative environments. Keywords co-creation mode; human-AI collaboration; creative provenance; proof of creation; authorship; copyright; human-in-the-loop; generative AI; transparency; verifiable creative processes