Vision

AURA envisions a future where AI-generated and AI-assisted content is transparently acknowledged, fairly attributed, and seamlessly integrated into academic, industrial, and creative practices — without compromising human authorship, originality, or responsibility.

Core Principles

• Transparency: Users deserve to know when and how AI was involved.
• Attribution: Tools and systems must be cited and referenced responsibly.
• Reproducibility: Metadata must allow tracing and re-generation when possible.
• Interoperability: The protocol should adapt to different formats, platforms, and disciplines.