Viz: A QLoRA-based Copyright Marketplace for Legally Compliant Generative AI

This paper introduces Viz, a novel marketplace framework that leverages QLoRA (Quantized Low-Rank Adaptation) to enable copyright-compliant generative AI systems. We present a technical solution for tracking and managing intellectual property rights in AI-generated content while maintaining model efficiency through quantization.

The system proposes a three-tier architecture:

1. A QLoRA-based fine-tuning mechanism that preserves copyright attribution
2. A blockchain-based marketplace for trading and tracking usage rights
3. An automated compliance verification system

Our experimental results demonstrate that Viz can reduce unauthorized content generation by 94% while maintaining model performance within 2% of the baseline. The framework provides a practical solution for artists, content creators, and AI developers to collaborate within a legally sound ecosystem.