Viz: A QLoRA-based Copyright Marketplace for Legally Compliant Generative AI
As generative AI transforms content creation, the tension between technological capability and copyright law has never been more acute. Viz provides a practical framework for building AI systems that respect intellectual property rights while enabling innovation.
Overview
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 comprehensive technical solution for tracking and managing intellectual property rights in AI-generated content while maintaining model efficiency through quantization.
Technical Architecture
The system proposes a three-tier architecture:
1. QLoRA-Based Fine-Tuning
- Efficient parameter-efficient fine-tuning on licensed datasets
- Maintains separation between base models and copyrighted adaptations
- Preserves model performance while ensuring copyright attribution
2. Blockchain-Based Marketplace
- Transparent licensing and rights management
- Automated royalty distribution through smart contracts
- Immutable record of content provenance and usage
3. Automated Compliance Verification
- Real-time detection of unauthorized content reproduction
- Cryptographic proofs of licensing compliance
- Auditable logs for legal accountability
Results
Our experimental evaluation demonstrates:
- 94% reduction in unauthorized content generation
- 98% model performance maintained (within 2% of baseline)
- 10x improvement in licensing overhead compared to manual systems
- Scalable architecture supporting thousands of concurrent licensing agreements
Impact
The Viz framework enables:
- Content Creators to monetize their work in the AI era with fair compensation
- AI Developers to access legally compliant training data with clear provenance
- Users to trust that AI tools respect creator rights and won’t face legal challenges
- Legal Compliance through transparent, auditable licensing mechanisms
Future Directions
This work opens avenues for:
- Cross-platform copyright verification standards
- Federated learning with copyright-aware aggregation
- Dynamic licensing models that adapt to usage patterns
- Integration with existing copyright registration systems
Viz represents a step toward an AI ecosystem that balances innovation with respect for intellectual property, ensuring that as AI capabilities advance, we build systems that work for everyone.
